Companion post to: Field closure, ice neurons, and when a dendrite is a motif Nima Dehghani arXiv 2026 DOI: https://arxiv.org/abs/2610.00184v1

This chapter reconstructs the McCulloch-Pitts program as a physics of neural computation rather than the familiar cartoon of a binary neuron. The 1943 logical calculus is developed in both directions:...

The University of Hong Kong (HKU) announces the appointment of Professor Xiao-Jing Wang, a pioneer in theoretical and computational neuroscience, to its faculty as a Chair Professor. Professor Wang wi...

ICLR 2027 has received more submissions than all previous years (2013–2026) combined

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 ...

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Companion post to: Autonomous Physical Computation: A Categorical Closure Criterion for Physical and Neuromorphic Reservoirs. Nima Dehghani arXiv 2026. DOI: https://doi.org/10.48550/arXiv.2607.23902

Companion post to: Autonomous Physical Computation: A Categorical Closure Criterion for Physical and Neuromorphic Reservoirs. Nima Dehghani arXiv 2026. DOI: https://doi.org/10.48550/arXiv.2607.23902

Companion post to: Evolutionary Optimization Reveals Structural Constraints on Reservoir Architecture for Spatiotemporal Chaos Nima Dehghani arXiv 2026. DOI: https://doi.org/10.48550/arXiv.2606.22765

Physical reservoirs, neuromorphic devices, and wave-mediated systems often possess memory, feedback, and rich state-dependent dynamics, but these properties do not by themselves establish autonomous c...

Biological systems maintain function in fluctuating environments by transforming past stimulation into internal dynamical states that support future-oriented responses. Reservoir computing provides a ...

Pengfei Sun et al. develop a spiking neural network with a dual memory pathway, co-designed with a custom neuromorphic chip. The approach delivers over 4× throughput and 5x energy efficiency gains whi...

How the wiring and functional organization of cortex shape recurrent computation remains a central question in both neuroscience and machine learning. Here, we leverage data released through the Machi...

Neural recordings are often interpreted as local measurements, yet the signal at any one sensor can also reflect structured activity distributed across the broader network. This raises a basic questio...

This work shows that cortical interneuron morphoelectric properties are organized by two separable axes: molecularly related, depth-independent cell-type structure and gradual, depth-dependent shifts ...

A new tool places every OHBM 2026 abstract inside a semantic map of the neuroscience literature, so you can find your neighbors.

Abstract. Learning is a complex dynamical process shaped by a range of interconnected decisions. Careful design of hyperparameter schedules for artificial

Self-inserting DNA origami tiles form stable nanopores across live neuronal membranes, enabling intracellular-like voltage recordings, small-molecule delivery and access to hard-to-reach dendrites wit...

ALT: Farnsworth: I'm Old, Leave Me Alone Meme