Results 31 to 40 of about 215,411 (303)
Neuronal Communication: Firing Spikes with Spikes [PDF]
Current Biology, 2012 Spikes of single cortical neurons can exert powerful effects even though most cortical synapses are too weak to fire postsynaptic neurons. A recent study combining single-cell stimulation with population imaging has visualized in vivo postsynaptic firing in genetically identified target cells.
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Reinforcement learning in populations of spiking neurons [PDF]
, 2008 Population coding is widely regarded as a key mechanism for achieving reliable behavioral responses in the face of neuronal variability. But in standard reinforcement learning a flip-side becomes apparent.
Urbanczik, R +3 more
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PLoS Biology, 2021 The receptive field of a neuron describes the regions of a stimulus space where the neuron is consistently active. Sparse spiking outside of the receptive field is often considered to be noise, rather than a reflection of information processing.
Jai Y Yu, Loren M Frank
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Outdoor performance of a motion-sensitive neuron in the blowfly [PDF]
, 2001 Egelhaaf M, Grewe J, Kern R, Warzecha A-K. Outdoor performance of a motion-sensitive neuron in the blowfly. Vision research. 2001;41(27):3627-3637.We studied an identified motion-sensitive neuron of the blowfly under outdoor conditions.
Egelhaaf, Martin +9 more
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Complementarity of spike- and rate-based dynamics of neural systems [PDF]
, 2012 Relationships between spiking-neuron and rate-based approaches to the dynamics of neural assemblies are explored by analyzing a model system that can be treated by both methods, with the rate-based method further averaged over multiple neurons to give a ...
P A Robinson +11 more
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Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model
Frontiers in Computational Neuroscience, 2021 Strategically located between the thalamus and the cortex, the inhibitory thalamic reticular nucleus (TRN) is a hub to regulate selective attention during wakefulness and control the thalamic and cortical oscillations during sleep.
Chaoming Wang +5 more
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On the Nonlearnability of a Single Spiking Neuron
Neural Computation, 2005 We study the computational complexity of training a single spiking neuron N with binary coded inputs and output that, in addition to adaptive weights and a threshold, has adjustable synaptic delays. A synchronization technique is introduced so that the results concerning the nonlearn-ability of spiking neurons with binary delays are generalized to ...
Jirí Síma, Jirí Sgall
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Cortical Neurons Adjust the Action Potential Onset Features as a Function of Stimulus Type
Applied Sciences, 2023 Pyramidal neurons and interneurons play critical roles in regulating the neuronal activities in the mammalian cortex, where they exhibit different firing patterns.
Ahmed A. Aldohbeyb, Ahmad O. Alokaily
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Volatile Memory Motifs: Minimal Spiking Neural Networks
IEEE Access, 2023 How spiking neuronal networks encode memories in their different time and spatial scales constitute a fundamental topic in neuroscience and neuro-inspired engineering.
Fabio Schittler Neves, Marc Timme
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Fractionally Predictive Spiking Neurons
CoRR, 2010 Recent experimental work has suggested that the neural firing rate can be interpreted as a fractional derivative, at least when signal variation induces neural adaptation. Here, we show that the actual neural spike-train itself can be considered as the fractional derivative, provided that the neural signal is approximated by a sum of power-law kernels.
S.M. Bohte (Sander) +1 more
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