A new Mathematical Framework to Understand Single Neuron Computations

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Neurons in the human amygdala and hippocampus are classically thought to encode a person’s identity invariant to visual features. However, it remains largely unknown how visual information from higher visual cortical areas is translated into such a semanti ...

Can spiking neural networks (SNNs) approximate the dynamics of recurrent neural networks? Arguments in classical mean-field theory based on laws of large numbers provide a positive answer when each neuron in the network has many “duplicates”, i.e., other n ...

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A new Mathematical Framework to Understand Single Neuron Computations

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Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus

Emergent Rate-Based Dynamics in Duplicate-Free Populations of Spiking Neurons

How Gradient Descent Balances Features: A Dynamical Analysis For Two-Layer Neural Networks

Eflop: a Sparsity-aware Metric for Evaluating Computational Cost in Spiking and Non-spiking Neural Networks

Soft microelectrode arrays for 3D in vitro brain models

Multiscale Quantification of Hemispheric Asymmetry in Cortical Maps Using Geometric Eigenmodes

Advances on Real Time M/EEG Neural Feature Extraction

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

The modulation of selective attention and divided attention on cross-modal congruence

Fast adaptation to rule switching using neuronal surprise

Learning to Assemble with Alternative Plans

On Reconstruction of Cortical Functional Maps Using Subject-Specific Geometric and Connectome Eigenmodes

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Context selectivity with dynamic availability enables lifelong continual learning

Small-scale robotic devices for medical interventions in the brain

Video-evoked neuromarkers of visual function in age-related macular degeneration

Augmenting locomotor perception by remapping tactile foot sensation to the back

Improving the accuracy and interpretability of neural networks for wind power forecasting

Involvement of prelimbic cortex neurons and related circuits in the acquisition of a cooperative learning by pairs of rats

Osmosis-driven stiffening of structured hydrogels