Self-tuning of neural circuits through short-term synaptic plasticity (2008)
David Sussillo, Taro Toyoizumi, Wolfgang Maass
Numerous experimental data show that cortical networks of neurons are not silent in the absence of external inputs, but rather maintain a low spontaneous firing activity. This aspect of cortical...
Jean-pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner
In timing-based neural codes, neurons have to emit action po-tentials at precise moments in time. We use a supervised learn-ing paradigm to derive a synaptic update rule that optimizes via gradient...
Jean-pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner
Preprint version of:
Toyoizumi, Taro, Pfister, Jean-Pascal, Aihara, Kazuyuki, Gerstner, Wulfram
We studied the hypothesis that synaptic dynamics is controlled by three basic principles: (1) synapses adapt their weights so that neurons can effectively transmit information, (2) homeostatic...
Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing (2005)
Pfister, Jean-Pascal, Toyoizumi, Taro, Barber, David, Gerstner, Wulfram
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimizes via gradient...
Toyoizumi, Taro, Pfister, Jean-Pascal, Aihara, Kazuyuki, Gerstner, Wulfram
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a spike-timing...
Taro Toyoizumi, Jean-pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a spike-timing...
Pfister, Jean-Pascal, Toyoizumi, Taro, Barber, David, Gerstner, Wulfram
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimizes via gradient...
Toyoizumi, Taro, Pfister, Jean-Pascal, Aihara, Kazuyuki, Gerstner, Wulfram
Maximization of information transmission by a spiking-neuron model predicts changes of synaptic connections that depend on timing of pre- and postsynaptic spikes and on the postsynaptic membrane...