Directed and acyclic synaptic connectivity in the human layer 2-3 cortical microcircuit

Y Peng, A Bjelde, PV Aceituno, FX Mittermaier… - Science, 2024 - science.org
The computational capabilities of neuronal networks are fundamentally constrained by their
specific connectivity. Previous studies of cortical connectivity have mostly been carried out in …

Theoretical principles explain the structure of the insect head direction circuit

PV Aceituno, D Dall'Osto, I Pisokas - Elife, 2024 - elifesciences.org
To navigate their environment, insects need to keep track of their orientation. Previous work
has shown that insects encode their head direction as a sinusoidal activity pattern around a …

Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks

WF Podlaski, CK Machens - Neural Computation, 2024 - direct.mit.edu
Deep feedforward and recurrent neural networks have become successful functional models
of the brain, but they neglect obvious biological details such as spikes and Dale's law. Here …

Exploring neural oscillations during speech perception via surrogate gradient spiking neural networks

A Bittar, PN Garner - Frontiers in Neuroscience, 2024 - frontiersin.org
Understanding cognitive processes in the brain demands sophisticated models capable of
replicating neural dynamics at large scales. We present a physiologically inspired speech …

Enhancing learning in spiking neural networks through neuronal heterogeneity and neuromodulatory signaling

A Rodriguez-Garcia, J Mei, S Ramaswamy - arXiv preprint arXiv …, 2024 - arxiv.org
Recent progress in artificial intelligence (AI) has been driven by insights from neuroscience,
particularly with the development of artificial neural networks (ANNs). This has significantly …

Learning of state representation in recurrent network: the power of random feedback and biological constraints

T Tsurumi, A Kato, A Kumar, K Morita - bioRxiv, 2024 - biorxiv.org
How external/internal 'state'is represented in the brain is crucial, since appropriate
representation enables goal-directed behavior. Recent studies suggest that state …

The insect compass system: from theory to circuitry

PV Aceituno, D Dall'Osto, I Pisokas - bioRxiv, 2023 - biorxiv.org
To navigate their environment, insects need to keep track of their orientation. Previous work
has shown that insects encode their head direction as a sinusoidal activity pattern around a …

Relationship between behavioral output and internal dynamics in biological and recurrent neural networks

A Rabus - 2024 - prism.ucalgary.ca
An organism controls its state in the environment through behavior; behavior, in turn,
influences neuronal dynamics through feedback to the brain. Despite this apparent …

[PDF][PDF] Reinforcement learning of state representation and value: the power of random feedback and

T Tsurumi, A Kato, A Kumar, K Morita - Nat Neurosci, 2013 - biorxiv.org
How external/internal 'state'is represented in the brain is crucial, since appropriate
representation enables goal-directed behavior. Recent studies suggest that state …