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Neural Pre-coding Increases the Pattern Retrieval Capacity of Hopﬁeld and Bidirectional Associative Memories

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Neural Pre-coding Increases the Pattern Retrieval Capacity of Hopﬁeld and Bidirectional Associative Memories

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Fitting summary statistics of neural data with a differentiable spiking network simulator

Biologically plausible unsupervised learning in shallow and deep neural networks

Spiking Neural Networks Trained With Backpropagation For Low Power Neuromorphic Implementation Of Voice Activity Detection

Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks

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Analog Neural Networks with Deep-submicron Nonlinear Synapses

Untangling emergent cortical dynamics: neurons from networks, noise from chaos

Biologically plausible deep learning – but how far can we go with shallow networks?

Individual differences in sensory sensitivity: Further lessons from an Autism model

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks

Fitting summary statistics of neural data with a differentiable spiking network simulator

Biologically plausible unsupervised learning in shallow and deep neural networks

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity

Biologically plausible deep learning – but how far can we go with shallow networks?

Spiking Neural Networks Trained With Backpropagation For Low Power Neuromorphic Implementation Of Voice Activity Detection

Individual differences in sensory sensitivity: Further lessons from an Autism model

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Untangling emergent cortical dynamics: neurons from networks, noise from chaos