Transport of ions through pores in membranes is a process of fundamental importance to
cell biology. In living organisms, such transport is facilitated by ion channels that utilize the …

Conductance-based equations for electrically active cells form one of the most widely
studied mathematical frameworks in computational biology. This framework, as expressed …

The random transitions of ion channels between conducting and nonconducting states
generate a source of internal fluctuations in a neuron, known as channel noise. The …

Noise is an inherent part of neuronal dynamics, and thus of the brain. It can be observed in
neuronal activity at different spatiotemporal scales, including in neuronal membrane …

We developed a mathematical model to simulate the dynamics of background synaptic
noise in non-neuronal cells. By employing the stochastic Ornstein–Uhlenbeck process, we …

Motivated by neuroscience discoveries during the last few years, many studies consider
pulse-coupled neural networks with spike-timing as an essential component in information …

We investigate inverse stochastic resonance (ISR), a recently reported phenomenon in
which the spiking activity of a Hodgkin-Huxley model neuron subject to external noise …

Electrical signaling in neurons is mediated by the opening and closing of large numbers of
individual ion channels. The ion channels' state transitions are stochastic and introduce …

Feedforward (FF) inhibition is a common motif in many neural networks. Typically, excitatory
inputs drive both principal neurons and interneurons; the interneurons then inhibit the …

Neurons receive complex multiple signals from different regions in the biology system, and
the neuron information carried by the multi-frequency signals can be detected by the neural …