The brain identifies potentially salient features within continuous information streams to process hierarchical temporal events. This requires the compression of information streams, for which effective computational principles are yet to be explored. Backpropagating action potentials can induce synaptic plasticity in the dendrites of cortical pyramidal neurons. By analogy with this effect, we model a self-supervising process that increases the similarity between dendritic and somatic activities where the somatic activity is normalized by a running average. We further show that a family of networks composed of the two-compartment neurons performs a surprisingly wide variety of complex unsupervised learning tasks, including chunking of tempo...
Short-term synaptic plasticity has been proposed as a way for cortical neurons to process temporal i...
Apical and tuft dendrites of pyramidal neurons support regenerative electrical potentials, giving ri...
<div><p>In the last decade dendrites of cortical neurons have been shown to nonlinearly combine syna...
The brain performs various cognitive functions by learning the spatiotemporal salient features of th...
The brain constantly processes information encoded in temporal sequences of spiking activity. This s...
We suggest a mechanism based on spike-timing-dependent plasticity (STDP) of synapses to store, retri...
A complete single-neuron model must correctly reproduce the firing of spikes and bursts. We present ...
Deep learning has seen remarkable developments over the last years, many of them inspired by neurosc...
At the cellular scale, single-neurons process information mainly through spikes or action potentials...
Self-organization in biological nervous systems during the lifetime is known to largely occur throug...
The brain can efficiently learn a wide range of tasks, motivating the search for biologically inspir...
The discovery of binary dendritic events such as local NMDA spikes in dendritic subbranches led to t...
Dendrites are not static structures, new synaptic connections are established and old ones disappear...
The dendritic tree of neurons plays an important role in information processing in the brain. While ...
This article discusses the unsupervised learning of a network for a temporally precise sequence. A n...
Short-term synaptic plasticity has been proposed as a way for cortical neurons to process temporal i...
Apical and tuft dendrites of pyramidal neurons support regenerative electrical potentials, giving ri...
<div><p>In the last decade dendrites of cortical neurons have been shown to nonlinearly combine syna...
The brain performs various cognitive functions by learning the spatiotemporal salient features of th...
The brain constantly processes information encoded in temporal sequences of spiking activity. This s...
We suggest a mechanism based on spike-timing-dependent plasticity (STDP) of synapses to store, retri...
A complete single-neuron model must correctly reproduce the firing of spikes and bursts. We present ...
Deep learning has seen remarkable developments over the last years, many of them inspired by neurosc...
At the cellular scale, single-neurons process information mainly through spikes or action potentials...
Self-organization in biological nervous systems during the lifetime is known to largely occur throug...
The brain can efficiently learn a wide range of tasks, motivating the search for biologically inspir...
The discovery of binary dendritic events such as local NMDA spikes in dendritic subbranches led to t...
Dendrites are not static structures, new synaptic connections are established and old ones disappear...
The dendritic tree of neurons plays an important role in information processing in the brain. While ...
This article discusses the unsupervised learning of a network for a temporally precise sequence. A n...
Short-term synaptic plasticity has been proposed as a way for cortical neurons to process temporal i...
Apical and tuft dendrites of pyramidal neurons support regenerative electrical potentials, giving ri...
<div><p>In the last decade dendrites of cortical neurons have been shown to nonlinearly combine syna...