{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ " \n", "(pericentral)=\n", "# Pericentral, ✨ 🌏 🦠 🌿 🐊 🤖\n", "\n", "\n", "\n", "
\n", " + Expand\n", " \n", "\n", "
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\n", " Analysis\n", "

In designing the scenery and costumes for any of Shakespeare’s plays, the first thing the artist has to settle is the best date for the drama. This should be determined by the general spirit of the play, more than by any actual historical references which may occur in it. Most Hamlets I have seen were placed far too early. Hamlet is essentially a scholar of the Revival of Learning; and if the allusion to the recent invasion of England by the Danes puts it back to the ninth century, the use of foils brings it down much later. Once, however, that the date has been fixed, then the archæologist is to supply us with the facts which the artist is to convert into effects.

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-- The Truth of Masks 🎭

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\n", "\n", "The MAGA crowd’s fixation on the Kennedys is a weird stew of nostalgia, conspiracy, and political chess. It’s not hard to see why it’s confusing—there’s no clean “fan or foe” line here; it’s more like a love-hate remix that shifts depending on the day and the player.\n", "\n", "Start with the basics: JFK’s assassination in ’63 is the granddaddy of modern conspiracy theories—grassy knolls, CIA plots, the works. MAGA folks, especially the QAnon-leaning fringe, latched onto this hard. Some still peddle wild ideas like JFK Jr. faking his death to join Trump’s crusade (yeah, that’s a thing—check X posts from the Qtards). It’s less about the man himself and more about what he represents: a lost golden age of American swagger and a juicy “deep state” betrayal narrative. Trump’s recent dump of 80,000 JFK files in March ’25 only threw gas on this fire, even if the docs didn’t rewrite history.\n", "\n", "
\n", " But in real life, sailors who insist on tearing holes in the ship because it’s “not the ocean” are the ones who drown first.
\n", " — Yours Truly & GPT-4o\n", "
\n", "\n", "Then there’s the Kennedy mystique—glamour, power, tragedy. For a movement obsessed with “making America great again,” the Kennedys are a symbol of a mythic past, before everything supposedly went off the rails. Trump’s own moves—like taking over the Kennedy Center or name-dropping RFK Jr.—play into this. It’s not fandom; it’s branding. He’s trying to swipe some of that Camelot shine, even while Jack Schlossberg, JFK’s grandson, blasts him on X for exploiting the family’s trauma.\n", "\n", "But here’s where it flips: RFK Jr.’s a wild card. MAGA embraced him when he joined Trump’s team as Health Secretary—his anti-vax, anti-establishment vibe fits their rebel streak. Trump’s praised him big-time, calling it historic. Yet most Kennedys hate this guy—Caroline’s called him out for tarnishing the legacy. So MAGA loves their Kennedy, but not the rest. It’s cherry-picking: RFK Jr.’s a “foe” to the liberal Kennedy clan but a “fan” favorite for Trump’s base.\n", "\n", "Why can’t you pin it down? Because it’s a mess of motives—admiration for a myth, distrust of the official story, and a tactical grab for credibility. One minute they’re drooling over JFK’s files, the next they’re cheering RFK Jr. while shrugging off the family’s disgust. It’s not about the Kennedys as people; it’s about what they can be twisted to mean. You’re not alone in scratching your head—clarity’s not the point here. Chaos is. \n", "\n", "\n", "\n", "```{raw} html\n", "\n", "\n", "
\n", " \n", " \"Eco-Green\n", " \n", "

The Upside-Down Tree: A Fractal of Reality, Resources, and Illusion. In the darkest, most sacred hours of Friday night, exploring the deep secrets of Kabbalah, he discovered a most astonishing mystical teaching: The Tree of Life is an upside-down tree.\n", "

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\n", "\n", "\n", "```\n", "\n", "We are a race at sea, adrift on a vessel we never chose, our collective memory flickering to life only after the sails were already hoisted. There’s no logbook recounting the launch, no map etched with a point of origin—just the creak of the hull and the endless slap of waves against our fragile ark. If life holds any meaning, it might lie in the faint hope of anchoring one day on some tropical ideal, an island of stillness where the water calms and the horizon finally makes sense. But for now, we’re preoccupied, clutching at anything that threatens to puncture our ship or scanning the deck for lifeboats when the inevitable breach comes. It’s a restless existence, this maritime limbo, and we fill it with stories—some half-remembered, some feverishly invented—to keep the void at bay.\n", "\n", "The Kennedy saga drifts into this like flotsam, a tangled knot of myth and wreckage we can’t help but fish from the water. It’s not just a family; it’s a parable we’ve lashed to the mast, a way to mark time and meaning on this uncharted voyage. John F. Kennedy, with his crisp suits and Camelot glow, is the captain we imagine once stood at the helm—a figure of promise who steered us toward that fabled island before a bullet cracked the deck beneath him. His death in ’63 isn’t just a loss; it’s the moment the ship’s compass spun wild, leaving us to wonder if the storm that followed was fate or sabotage. The obsession with his story—grassy knolls, CIA shadows, magic bullets—feels like sailors arguing over who saw the lightning strike, desperate to explain why we’re still adrift.\n", "\n", "Then there’s the MAGA crew, clinging to the Kennedy name like it’s a spar from a wrecked lifeboat. They don’t worship JFK so much as wield him, a ghost they conjure to haunt the “deep state” they blame for every leak in the hull. The recent dump of 80,000 JFK files in March ’25—Trump’s latest flourish—didn’t steady the ship, but it gave them more rope to knot into their conspiracies. For them, the Kennedys are a dual-edged talisman: JFK’s assassination proves the enemy’s treachery, while RFK Jr.’s defection to Trump’s side offers a makeshift raft. They cheer Robert Kennedy Jr.’s anti-vax rants and his Health Secretary gig as if he’s patching the ship with their own brand of tar, even as the rest of the Kennedy clan—Caroline, Jack Schlossberg—stand on the bow, shouting that he’s drilling holes instead. It’s a bizarre dance: one Kennedy is a sainted martyr, another a living mascot, and the rest are cast as traitors to their own legend.\n", "\n", "
\n", " Forbids Usury
\n", " Speculation
\n", " Accumulation
\n", " CompoundingN
\n", " Exponentials
\n", " — Salience\n", "
\n", "\n", "This stew of reverence and revision keeps bubbling because we’re terrified of the silence that comes when the stories stop. On this ship, the Kennedys are a non-self we latch onto—not quite us, but close enough to reflect our fears and fantasies. The MAGA fixation mirrors our broader impulse to grab anything that might puncture the monotony or promise rescue. JFK’s myth is a tropical ideal we’ll never reach, a shimmering shore where America was great and the sea was tame. RFK Jr., meanwhile, is the lifeboat they’ve jury-rigged from driftwood and duct tape, a gamble that he’ll row them to safety while the liberal Kennedys insist he’s sinking the whole damn fleet. We can’t decide if they’re fans or foes because the distinction doesn’t matter—what matters is that they keep the narrative churning, a distraction from the endless rocking of the waves.\n", "\n", "Our collective memory, stunted as it is, thrives on these half-submerged relics. We don’t know how we got here, but we know the ship’s creaking, and the horizon’s a tease. The Kennedy obsession—whether it’s conspiracy nuts poring over files or Trump slapping the family name on his projects—is just us rummaging through the hold for something to cling to. Maybe it’s a lifeline, maybe it’s an anchor dragging us down, but it beats staring at the water. If there’s an island out there, tropical or otherwise, we’ll only find it by accident, long after we’ve exhausted the tales we tell to pass the time. Until then, we’re sailors without a shore, making do with the wreckage we’ve got.\n", " \n", "---\n", "\n", "When considering the terms *pericentral*, *dorsal*, *lateral*, *medial*, and *cingulo-insular*, the mind naturally turns to the intricate organization of the human brain, particularly the cerebral cortex and its functional subdivisions. These descriptors are essential in neuroanatomy, helping to delineate regions based on their spatial relationships and functional specializations. \n", "\n", "The *pericentral* region refers to the area surrounding the central sulcus, a critical landmark separating the frontal and parietal lobes. This includes the precentral gyrus, responsible for motor control, and the postcentral gyrus, which processes somatosensory input. The precision of movement and tactile perception hinges on the integrity of these pericentral structures. \n", "\n", "Moving to *dorsal* and *lateral*, these terms often describe the positioning of cortical networks. The *dorsal* stream, sometimes called the \"where\" pathway, extends through the parietal lobe and is crucial for spatial awareness and motion perception. In contrast, *lateral* regions, such as the lateral prefrontal cortex, are heavily involved in executive functions—working memory, decision-making, and cognitive control. The distinction between dorsal and lateral underscores how anatomical orientation correlates with functional divergence. \n", "\n", "The *medial* aspects of the brain, including the medial prefrontal cortex and medial temporal lobe, are deeply tied to emotion regulation, memory consolidation, and self-referential thought. These regions exemplify how inward-facing structures govern introspective and affective processes, contrasting with outwardly oriented lateral systems. \n", "\n", "Finally, the *cingulo-insular* complex—encompassing the anterior cingulate cortex and insular lobe—serves as a hub for interoception, salience detection, and autonomic regulation. This network integrates bodily states with emotional and cognitive experiences, illustrating how deeply interconnected brain regions mediate self-awareness and adaptive behavior. \n", "\n", "Together, these terms paint a picture of the brain’s architectural and functional diversity. From motor execution to metacognition, spatial navigation to emotional evaluation, the interplay of pericentral, dorsal, lateral, medial, and cingulo-insular systems highlights the brain’s remarkable capacity for specialized yet integrated processing. Understanding these distinctions not only advances neuroscience but also informs clinical approaches to neurological and psychiatric disorders.\n", "\n", "```{raw} html\n", "\n", "\n", "
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CG-BEST: Nitrogen Fixation and the Hidden Economy of Life. And how does that relate to a bequest, resources, faustian bargain vs islamic finance, distributed, and legacy?

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\n", "```\n", " \n", "When I think of terms like pericentral, dorsal, lateral, medial, and cingulo-insular, my mind drifts toward the intricate geography of the brain, a landscape of ridges and valleys that feels almost oceanic in its complexity. These words—pericentral hovering near the brain’s central sulcus, dorsal rising like the back of a creature breaking the surface, lateral stretching outward to the edges, medial folding inward toward the core, and cingulo-insular tying together the cingulate’s emotional currents with the insular depths of visceral awareness—evoke a sense of navigation across a vast, uncharted sea. The brain becomes a restless expanse, its regions like currents and tides, pulling and pushing against one another in a ceaseless dance. I imagine standing at the helm of a ship, peering out over this neural sea, tasked with charting a course through waters that shift with every thought, every sensation.\n", "\n", "This ship, though, isn’t just a vessel—it’s a metaphor for the self, or perhaps the nonself, that slippery concept where identity dissolves into the waves. The pericentral might guide the ship’s motor commands, steering through the physical world, while the dorsal stream lifts its gaze to the horizon, plotting spatial awareness. Lateral expanses could mark the boundaries of perception, where the ship brushes against the external, and medial depths plunge into memory and introspection, the unseen ballast keeping it steady. The cingulo-insular network, then, is the compass—or maybe the crew itself—negotiating the tension between emotion and instinct, whispering when to fight the storm or ride it out. But who captains this ship? The nonself suggests no one does; the vessel sails as a collective hum of systems, a negotiation of forces rather than a single, unified identity shouting orders from the deck.\n", "\n", "And then there’s the island—an isolated speck rising from the sea, a place where the ship might dock, or perhaps crash. In this mapping, the island feels like a crystallization of the self amidst the fluidity of nonself, a temporary shore where identity negotiation pauses. The pericentral could be its rugged cliffs, grounding the body in action; dorsal, its windswept peaks offering perspective; lateral, its sprawling shores open to the world; medial, its hidden caves of reflection; and cingulo-insular, the island’s beating heart, pulsing with feeling and awareness. Yet, the island isn’t permanent—the sea erodes it, just as the nonself erodes any fixed sense of who we are. The ship circles, sometimes anchoring, sometimes drifting, caught in an endless interplay between the solid and the boundless, the known and the unknowable. In this essay of the mind, these brain-bound terms spill into a maritime dreamscape, where sea, ship, nonself, identity negotiation, and island weave a story of exploration without end.\n", "\n", "\n", "```{raw} html\n", "\n", "\n", "
\n", " \"Eco-Green\n", "

Consider pretext, subtext, text, context, metatext. It is text in the mode of holy-writ that makes faustian bargains vs. islamic finance the ultimate bifurcation in how systems are engineered.

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\n", "```\n", "\n", "To map the layered brain model—pericentral, dorsal, lateral, medial, cingulo-insular—onto the symbolic sequence of sea, ship, nonself, identity negotiation, and island is to perform a poetic neuromapping of self and world, action and myth. Begin with the **pericentral**: the strip of brain that governs the reflex arc, the dance between sensation and motion. It is the raw surf of experience, salt and grit, the **sea** itself—unrelenting, primal, alive with immediate necessity. Here, action is not deliberated but summoned; it is the muscle’s answer to wind and wave. The sea does not ask—it touches, it pulls, it commands. This is where truth begins, in the collision of nerve and tide.\n", "\n", "The **dorsal** layer, attuned to attention and the orientation of gaze, becomes the **ship**—a fragile apparatus of will and technology, slicing through that elemental sea. The ship is not passive; it selects. It steadies amidst chaos, attends to stars, charts courses. Dorsal networks in the brain do the same: they filter, direct, stabilize. Without this ship, the sea is fatal. With it, the journey begins. The dorsal axis allows us to have a position, a bearing—though not yet a self.\n", "\n", "
\n", " Heretic: Déluge
\n", " Control: Filtration
\n", " Religion: Illusion
\n", " — Beck & Woods\n", "
\n", "\n", "What then is the **lateral**? It is the hidden rigging of the ship, the tension between sails and rudder, between reflex and intention. This is the site of **nonself**, the place where control is exercised not by a monolith of identity, but through negotiation, improvisation, and inhibition. The lateral prefrontal cortex doesn't assert selfhood—it manages impulses, postpones action, chooses among contingencies. In Buddhist thought, nonself is not absence but fluidity; so too here, the lateral brain is a modulator, a pivot point where contradictory forces are tamed but not silenced.\n", "\n", "Now, move inward to the **medial** surface, the province of memory, narrative, and belief. This is the crucible of **identity negotiation**. It is where the sea and the ship, sensation and selection, are interpreted—my story, your story, divine story. It is where the body is remembered, the soul contended with, the tribe consulted. This region adjudicates between archetypes: daughter, fighter, mother, exile. And it is here that the illusion of a stable self is negotiated daily, performed with conviction or unravelled in doubt.\n", "\n", "Finally, the **cingulo-insular** layer, ancient and inscrutable, resonates like a tuning fork struck by the gods. It is the function of optimization through emotional salience, and in this mapping it becomes the **island**—not as destination, but as mythic horizon. The island is what justifies the voyage, the dream that renders chaos coherent. It is where meaning lands. The cingulo-insular cortex integrates, highlights, makes sacred. It knows that not all inputs are equal, that some wounds and wonders must sing louder. The island is where the weight of the journey condenses into myth. And that, perhaps, is the mind’s deepest truth: that behind every layered circuit of neuron and metaphor lies a longing for the real—the beautiful lie we choose to believe so we can keep sailing.\n", "\n", "---\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "```{raw} html\n", "\n", "\n", "\n", "
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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import networkx as nx\n", "\n", "# Define the neural network layers\n", "def define_layers():\n", " return {\n", " 'Tragedy (Pattern Recognition)': ['Cosmology', 'Geology', 'Biology', 'Ecology', \"Symbiotology\", 'Teleology'],\n", " 'History (Resources)': ['Resources'], \n", " 'Epic (Negotiated Identity)': ['Faustian Bargain', 'Islamic Finance'], \n", " 'Drama (Self vs. Non-Self)': ['Darabah', 'Sharakah', 'Takaful'], \n", " \"Comedy (Resolution)\": ['Cacophony', 'Outside', 'Ukhuwah', 'Inside', 'Symphony'] \n", " }\n", "\n", "# Assign colors to nodes\n", "def assign_colors():\n", " color_map = {\n", " 'yellow': ['Resources'], \n", " 'paleturquoise': ['Teleology', 'Islamic Finance', 'Takaful', 'Symphony'], \n", " 'lightgreen': [\"Symbiotology\", 'Sharakah', 'Outside', 'Inside', 'Ukhuwah'], \n", " 'lightsalmon': ['Biology', 'Ecology', 'Faustian Bargain', 'Darabah', 'Cacophony'],\n", " }\n", " return {node: color for color, nodes in color_map.items() for node in nodes}\n", "\n", "# Define edges\n", "def define_edges():\n", " return [\n", " ('Cosmology', 'Resources'),\n", " ('Geology', 'Resources'),\n", " ('Biology', 'Resources'),\n", " ('Ecology', 'Resources'),\n", " (\"Symbiotology\", 'Resources'),\n", " ('Teleology', 'Resources'),\n", " ('Resources', 'Faustian Bargain'),\n", " ('Resources', 'Islamic Finance'),\n", " ('Faustian Bargain', 'Darabah'),\n", " ('Faustian Bargain', 'Sharakah'),\n", " ('Faustian Bargain', 'Takaful'),\n", " ('Islamic Finance', 'Darabah'),\n", " ('Islamic Finance', 'Sharakah'),\n", " ('Islamic Finance', 'Takaful'),\n", " ('Darabah', 'Cacophony'),\n", " ('Darabah', 'Outside'),\n", " ('Darabah', 'Ukhuwah'),\n", " ('Darabah', 'Inside'),\n", " ('Darabah', 'Symphony'),\n", " ('Sharakah', 'Cacophony'),\n", " ('Sharakah', 'Outside'),\n", " ('Sharakah', 'Ukhuwah'),\n", " ('Sharakah', 'Inside'),\n", " ('Sharakah', 'Symphony'),\n", " ('Takaful', 'Cacophony'),\n", " ('Takaful', 'Outside'),\n", " ('Takaful', 'Ukhuwah'),\n", " ('Takaful', 'Inside'),\n", " ('Takaful', 'Symphony')\n", " ]\n", "\n", "# Define black edges (1 → 7 → 9 → 11 → [13-17])\n", "black_edges = [\n", " (4, 7), (7, 9), (9, 11), (11, 13), (11, 14), (11, 15), (11, 16), (11, 17)\n", "]\n", "\n", "# Calculate node positions\n", "def calculate_positions(layer, x_offset):\n", " y_positions = np.linspace(-len(layer) / 2, len(layer) / 2, len(layer))\n", " return [(x_offset, y) for y in y_positions]\n", "\n", "# Create and visualize the neural network graph with correctly assigned black edges\n", "def visualize_nn():\n", " layers = define_layers()\n", " colors = assign_colors()\n", " edges = define_edges()\n", "\n", " G = nx.DiGraph()\n", " pos = {}\n", " node_colors = []\n", "\n", " # Create mapping from original node names to numbered labels\n", " mapping = {}\n", " counter = 1\n", " for layer in layers.values():\n", " for node in layer:\n", " mapping[node] = f\"{counter}. {node}\"\n", " counter += 1\n", "\n", " # Add nodes with new numbered labels and assign positions\n", " for i, (layer_name, nodes) in enumerate(layers.items()):\n", " positions = calculate_positions(nodes, x_offset=i * 2)\n", " for node, position in zip(nodes, positions):\n", " new_node = mapping[node]\n", " G.add_node(new_node, layer=layer_name)\n", " pos[new_node] = position\n", " node_colors.append(colors.get(node, 'lightgray'))\n", "\n", " # Add edges with updated node labels\n", " edge_colors = {}\n", " for source, target in edges:\n", " if source in mapping and target in mapping:\n", " new_source = mapping[source]\n", " new_target = mapping[target]\n", " G.add_edge(new_source, new_target)\n", " edge_colors[(new_source, new_target)] = 'lightgrey'\n", "\n", " # Define and add black edges manually with correct node names\n", " numbered_nodes = list(mapping.values())\n", " black_edge_list = [\n", " (numbered_nodes[3], numbered_nodes[6]), # 4 -> 7\n", " (numbered_nodes[6], numbered_nodes[8]), # 7 -> 9\n", " (numbered_nodes[8], numbered_nodes[10]), # 9 -> 11\n", " (numbered_nodes[10], numbered_nodes[12]), # 11 -> 13\n", " (numbered_nodes[10], numbered_nodes[13]), # 11 -> 14\n", " (numbered_nodes[10], numbered_nodes[14]), # 11 -> 15\n", " (numbered_nodes[10], numbered_nodes[15]), # 11 -> 16\n", " (numbered_nodes[10], numbered_nodes[16]) # 11 -> 17\n", " ]\n", "\n", " for src, tgt in black_edge_list:\n", " G.add_edge(src, tgt)\n", " edge_colors[(src, tgt)] = 'black'\n", "\n", " # Draw the graph\n", " plt.figure(figsize=(12, 8))\n", " nx.draw(\n", " G, pos, with_labels=True, node_color=node_colors, \n", " edge_color=[edge_colors.get(edge, 'lightgrey') for edge in G.edges],\n", " node_size=3000, font_size=9, connectionstyle=\"arc3,rad=0.2\"\n", " )\n", " \n", " plt.title(\"CG-BEST\", fontsize=18)\n", " plt.show()\n", "\n", "# Run the visualization\n", "visualize_nn()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```{figure} https://www.ledr.com/colours/white.jpg\n", "---\n", "width: 1\n", "height: 1\n", "---\n", "_History_. It's a fractal unfolding of entropy and order, a ceaseless churn wherein civilization rise, on the back of extracted resources, but collapse under the weight of their own complexity, as the illusion of linear progress--the arrow of time merely inscribing the same motifs at different scales--invites us to witness the second law of thermodynamics in slow motion. We get to see empires, cities, cultures structured around an energetic peak before unraveling into diffusion. But lets not mistake entropy for chaos: its the necessary precondition for renewal!\n", "```\n", " \n", "
\n", "\n", "\n", "## The Cognitive Geography of Self: A Metaphorical Exploration\n", "\n", "The human brain's organization serves as a remarkable parallel for our existential journey through life. Examining the regions of pericentral, dorsal, lateral, medial, and cingulo-insular structures reveals a striking metaphorical resonance with concepts of sea, ship, nonself, identity negotiation, and island.\n", "\n", "The pericentral regions, encompassing the primary motor and somatosensory cortices that interface with our physical body, mirror the endless sea that surrounds us all. Like the ocean's constant motion and vastness, these areas represent our fundamental sensory engagement with the external world—ever-changing, responsive to stimuli, and serving as the medium through which all other experiences must pass. The pericentral cortex processes raw sensation into meaningful information, just as the sea transforms abstract distance into voyage, resistance into motion, and emptiness into possibility.\n", "\n", "Dorsal structures, positioned superiorly in the brain and associated with attention and spatial awareness, function like the ship navigating conscious experience. The parietal regions particularly help orient ourselves in physical space, while dorsal attention networks direct our focus—deciding which sensory inputs deserve processing and which can fade into background. This mirrors how a ship cuts through the indifferent waters, establishing direction and purpose amid formlessness. The dorsal stream's \"where\" pathway helps us locate ourselves within our surroundings, just as navigation equipment guides vessels through uncertain waters.\n", "\n", "Lateral areas, particularly the temporal and lateral prefrontal regions, embody our engagement with nonself—the external entities we encounter and must process. These regions handle language, social cognition, and executive functions that mediate our interactions with others. The lateral temporal areas process speech and facial recognition, while lateral prefrontal regions modulate appropriate responses to social stimuli. Like encountering foreign shores and unfamiliar faces, these processes represent our confrontation with otherness—defining boundaries between self and nonself through contrast and interaction.\n", "\n", "The medial structures, particularly the default mode network, represent our ongoing identity negotiation. These regions activate during self-reflection, autobiographical memory retrieval, and consideration of personal values—processes fundamental to establishing and maintaining identity. Like diplomatic negotiations between competing interests, the medial prefrontal cortex weighs internal desires against external demands, calculating social implications and personal costs. This continuous recalibration resembles the delicate balancing of priorities when defining oneself against and within a larger community.\n", "\n", "Finally, the cingulo-insular network, with the anterior cingulate and insular cortex at its heart, serves as our metaphorical island—a relatively isolated but crucial territory processing interoceptive signals and emotional salience. The insula particularly registers internal bodily states, translating visceral sensations into emotional awareness. This personal island remains somewhat separate from external input, yet is fundamentally shaped by the surrounding waters. The anterior cingulate detects conflicts between competing possibilities—much like an island navigator scanning horizons for approaching storms or opportunities.\n", "\n", "This cognitive geography suggests our sense of self emerges from continuous interaction between these complementary systems. We are simultaneously the sea of sensation, the ship navigating experience, the nonself encountered through contrast, the negotiated identity established through reflection, and the island of internal awareness. Our consciousness arises not solely from isolated brain regions but from their dynamic integration—creating an emergent selfhood that transcends any single metaphorical mapping yet remains comprehensible through such interconnected imagery.\n", "\n", "Like land forms sculpted by oceanic forces, our identities emerge through neurological processes responding to environmental pressures. The brain's geography becomes a template for understanding how we construct meaning from experience—simultaneously engaging with external reality while maintaining internal coherence. This perspective reveals selfhood as neither purely internal nor externally determined, but rather as an ongoing conversation between complementary neurological systems pursuing the fundamental human project: making sense of our place in the world.å\n", "\n", " " ] } ], "metadata": { "kernelspec": { "display_name": "myenv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.4" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 4 }