Temporal filtering is a fundamental operation of nervous systems. In peripheral sensory systems, the temporal pattern of spiking activity can encode various stimulus qualities, and temporal filtering allows postsynaptic neurons to detect behaviorally relevant stimulus features from these spike trains. Intrinsic excitability, short-term synaptic plasticity, and voltage-dependent dendritic conductances have all been identified as mechanisms that can establish temporal filtering behavior in single neurons. Here we show that synaptic integration of temporally summating excitation and inhibition can establish diverse temporal filters of presynaptic input. Mormyrid electric fish communicate by varying the intervals between electric organ discharg...
International audienceEnergy consumption remains the main limiting factors in many IoT applications....
Throughout the central nervous system, the timescale over which pairs of neural spike trains are cor...
Abstract: Sensory systems must be able to extract features of a stimulus to detect and represent pro...
A variety of synaptic mechanisms can contribute to single-neuron selectivity for temporal intervals ...
Sensory stimuli are received by sensory neurons and information about these stimuli is further trans...
The interaction between synaptic and intrinsic dynamics can efficiently shape neuronal input–output ...
In the current paper it is proposed that short-term plasticity and dynamic changes in the balance of...
As information about the world traverses the brain, the signals exchanged between neurons are passed...
A spike timing dependent learning rule is present at the synapse between parallel fibers and Purkinj...
SummaryTo capture the context of sensory information, neural networks must process input signals acr...
The ability to detect time intervals and temporal patterns is critical to some of the most fundament...
dissertationTemporal features of sound are important in acoustic communication, including speech rec...
Spike-frequency adaptation is a prominent feature ofmany neurons. However, little is known about its...
Delivery of neurotransmitter produces on a synapse a current that flows through the membrane and get...
Abstract. The measurement of time is fundamental to the perception of complex, temporally structured...
International audienceEnergy consumption remains the main limiting factors in many IoT applications....
Throughout the central nervous system, the timescale over which pairs of neural spike trains are cor...
Abstract: Sensory systems must be able to extract features of a stimulus to detect and represent pro...
A variety of synaptic mechanisms can contribute to single-neuron selectivity for temporal intervals ...
Sensory stimuli are received by sensory neurons and information about these stimuli is further trans...
The interaction between synaptic and intrinsic dynamics can efficiently shape neuronal input–output ...
In the current paper it is proposed that short-term plasticity and dynamic changes in the balance of...
As information about the world traverses the brain, the signals exchanged between neurons are passed...
A spike timing dependent learning rule is present at the synapse between parallel fibers and Purkinj...
SummaryTo capture the context of sensory information, neural networks must process input signals acr...
The ability to detect time intervals and temporal patterns is critical to some of the most fundament...
dissertationTemporal features of sound are important in acoustic communication, including speech rec...
Spike-frequency adaptation is a prominent feature ofmany neurons. However, little is known about its...
Delivery of neurotransmitter produces on a synapse a current that flows through the membrane and get...
Abstract. The measurement of time is fundamental to the perception of complex, temporally structured...
International audienceEnergy consumption remains the main limiting factors in many IoT applications....
Throughout the central nervous system, the timescale over which pairs of neural spike trains are cor...
Abstract: Sensory systems must be able to extract features of a stimulus to detect and represent pro...