A: Firing rate response of two different neurons with adaptation (red curves) and two different neurons with synaptic filtering (grey curves) to the same time-varying input (black curve). B: Normalized linear filters for the neurons shown in A. C: Timescales of the linear filter for neurons with adaptation (red lines) and for neurons with synaptic filtering (grey lines) as a function of the timescale τw or τs, respectively. The dashed lines indicate the effective timescale of the evoked activity obtained by weighing each individual timescale with its amplitude in the linear filter. The effective timescale for neurons with adaptation saturates for large adaptation time constants, while it grows proportionally to the synaptic time constant fo...
Computational models offer a unique tool for understanding the network-dynamical mechanisms which me...
Spike-frequency adaptation is a prominent feature of neural dynamics. Among other mechanisms, variou...
Abstract The ability of neurons to adapt their responses to greatly varying sensory signal statistic...
A: Autocorrelation function of the firing rates for the network with adaptive neurons for three diff...
Neural activity in awake behaving animals exhibits a vast range of timescales that can be several fo...
Delivery of neurotransmitter produces on a synapse a current that flows through the membrane and get...
Numerical integration of the dynamics with units receiving additive external white noise, as a proxy...
Neural activity in awake behaving animals exhibits a vast range of timescales that can be several fo...
International audienceNeural activity in awake behaving animals exhibits a vast range of timescales ...
International audienceNeural activity in awake behaving animals exhibits a vast range of timescales ...
<div><p>The response of a neuron to a time-dependent stimulus, as measured in a Peri-Stimulus-Time-H...
A: Autocorrelation function of the firing rates in the network with synaptic filtering; dynamical me...
International audienceNeural activity in awake behaving animals exhibits a vast range of timescales ...
<div><p>(A) The top trace illustrates a natural spike train, with each vertical line indicating an a...
Spike-frequency adaptation is a prominent feature of neural dynamics. Among other mechanisms, variou...
Computational models offer a unique tool for understanding the network-dynamical mechanisms which me...
Spike-frequency adaptation is a prominent feature of neural dynamics. Among other mechanisms, variou...
Abstract The ability of neurons to adapt their responses to greatly varying sensory signal statistic...
A: Autocorrelation function of the firing rates for the network with adaptive neurons for three diff...
Neural activity in awake behaving animals exhibits a vast range of timescales that can be several fo...
Delivery of neurotransmitter produces on a synapse a current that flows through the membrane and get...
Numerical integration of the dynamics with units receiving additive external white noise, as a proxy...
Neural activity in awake behaving animals exhibits a vast range of timescales that can be several fo...
International audienceNeural activity in awake behaving animals exhibits a vast range of timescales ...
International audienceNeural activity in awake behaving animals exhibits a vast range of timescales ...
<div><p>The response of a neuron to a time-dependent stimulus, as measured in a Peri-Stimulus-Time-H...
A: Autocorrelation function of the firing rates in the network with synaptic filtering; dynamical me...
International audienceNeural activity in awake behaving animals exhibits a vast range of timescales ...
<div><p>(A) The top trace illustrates a natural spike train, with each vertical line indicating an a...
Spike-frequency adaptation is a prominent feature of neural dynamics. Among other mechanisms, variou...
Computational models offer a unique tool for understanding the network-dynamical mechanisms which me...
Spike-frequency adaptation is a prominent feature of neural dynamics. Among other mechanisms, variou...
Abstract The ability of neurons to adapt their responses to greatly varying sensory signal statistic...