Author

Nima Dehghani

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Preprint Aug 2026

"More Is Different''in Neural Circuits: Algebraic Emergence of Effective Theories in Canonical Recurrent Motifs of Biological Neuronal Networks

Canonical neural circuit motifs are usually described functionally: divisive normalization rescales population activity by a pooled signal, and winner-take-all competition selects one pattern through recurrent excitation and shared inhibition. We represent them, and their compositions, algebraically as finite transform...

Nima Dehghani · 0 citations

Preprint Sep 2026

Neural Logic, Invariance, and the Retina---McCulloch and Pitts

This chapter reconstructs the McCulloch-Pitts program as a physics of neural computation rather than the familiar cartoon of a binary neuron, and recovers the original distinction between thresholded excitatory summation and absolute inhibitory veto.

Nima Dehghani · 0 citations

Preprint Sep 2026

Memory as an Energy Landscape---Hopfield

This chapter reconstructs the Hopfield network as a physical theory of memory rather than merely an early neural-network algorithm, treating the Hopfield network as an effective theory whose symmetry, locality, and point-neuron assumptions delimit its biological reach.

Nima Dehghani · 0 citations