neurovium

garden of the forking paths maze of discoveries

Nima Dehghani

Enter the Paper Maze Enter the Idea Garden

“Time forks perpetually toward innumerable futures.” — Jorge Luis Borges

The arc behind the maze · 2016 → 2026 fullmetal_decade Ten years of asking what biological systems are doing when they process information, how much of it is computation, and what happens when the answer is turned around and used to build. Walk the decade

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// recent rooms & concepts

How Long Is the Coast of a Neuron? Resolution-Dependent Interaction Order and Computational Capacity

Room 1 · 2026 · arXiv

How Long Is the Coast of a Neuron? Resolution-Dependent Interaction Order and Computational Capacity

Dendritic computationPoint-neuron approximationCoarse-graining

Field closure, ice neurons, and when a dendrite is a motif

Room 2 · 2026 · arXiv

Field closure, ice neurons, and when a dendrite is a motif

Field ClosureIce NeuronsDendritic Computation

Algebraic Emergence of Effective Theories in Canonical Recurrent Motifs of Biological Neuronal Networks

Room 3 · 2026 · arXiv

Algebraic Emergence of Effective Theories in Canonical Recurrent Motifs of Biological Neuronal Networks

CircuitsRecurrenceComputation

Autonomous Physical Computation: A Categorical Closure Criterion for Physical and Neuromorphic Reservoirs.

Room 4 · 2026 · arXiv

Autonomous Physical Computation: A Categorical Closure Criterion for Physical and Neuromorphic Reservoirs.

physical computingmechanistic interpretabilityrecurrent

Evolutionary Optimization Reveals Structural Constraints on Reservoir Architecture for Spatiotemporal Chaos

Room 5 · 2026 · arXiv

Evolutionary Optimization Reveals Structural Constraints on Reservoir Architecture for Spatiotemporal Chaos

adaptiveoptimizationbio-inspired

Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks

Room 6 · 2026 · arXiv

Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks

Mo Shakiba, Rana Rokni, Mohammad Mohammadi, Nima Dehghani

NeuroAIfunctional connectomicscortical wiring

What the resolution of a neuron model does to the computation

The Silhouette Fallacy: Field closure, ephaptic coupling, and the physics of computation

Connectomes, Dynamics, and the Algebra of Computation: Why “More Is Different” in Canonical Recurrent Motifs