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Simple Spikes and Complex Spikes
Cerebellar Purkinje neurons communicate with downstream circuit elements by generating two distinct types of electrical activity. Purkinje neurons...
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A voltage-based Event-Timing-Dependent Plasticity rule accounts for LTP subthreshold and suprathreshold for dendritic spikes in CA1 pyramidal neurons
Long-term potentiation (LTP) is a synaptic mechanism involved in learning and memory. Experiments have shown that dendritic sodium spikes...
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Part I: The Complex Spikes as One of the Cerebellar Secrets
The olivocerebellar tract has unique morphological, physiological, and developmental properties. Olivocerebellar axons are the source of multiple...
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Framework for automated sorting of neural spikes from Neuralynx-acquired tetrode recordings in freely-moving mice
BackgroundExtracellular recording represents a crucial electrophysiological technique in neuroscience for studying the activity of single neurons and...
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An opinion on the 'delayed spikes' in human motoneurons
This is a note challenging the claim by Kudina and Andreeva’s recent publication in Experimental Brain Research. In that publication, Kudina and...
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The Quest for a Unifying Framework for the Role of Cerebellar Complex Spikes
Ever since the theory of cerebellar cortex was introduced by David Marr, the olivocerebellar signals have been at the center of our thinking about...
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Impact of Purkinje Cell Simple Spike Synchrony on Signal Transmission from Flocculus
Purkinje cells (PCs) in the cerebellar flocculus carry rate-coded information that ultimately drives eye movement. Floccular PCs lying nearby each...
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Monosynaptic inference via finely-timed spikes
Observations of finely-timed spike relationships in population recordings have been used to support partial reconstruction of neural microcircuit...
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Beyond neurons and spikes: cognon, the hierarchical dynamical unit of thought
From the dynamical point of view, most cognitive phenomena are hierarchical, transient and sequential. Such cognitive spatio-temporal processes can...
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A Simple Ca2+-Imaging Approach of Network-Activity Analyses for Human Neurons
Rapid advances in light microscopy and development of all-optical electrophysiological imaging tools have greatly leveraged the speed and the depth...
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States Are A-Changing, Complex Spikes Proclaim
The cerebellum has been viewed historically as involved exclusively in motor control. However, understanding specific cerebellar processes has...
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Effects of levetiracetam and oxcarbazepine monotherapy on intellectual and cognitive development in children with benign epilepsy with centrotemporal spikes
Levetiracetam (LEV) and oxcarbazepine (OXC) are commonly used in the treatment of epilepsy, but their efficacy and safety have seldom been compared...
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Single-compartment model of a pyramidal neuron, fitted to recordings with current and conductance injection
For single neuron models, reproducing characteristics of neuronal activity such as the firing rate, amplitude of spikes, and threshold potentials as...
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A Template-Based Sequential Algorithm for Online Clustering of Spikes in Extracellular Recordings
In order to discriminate different spikes in an extracellular recording, a multitude of successful spike sorting algorithms has been proposed up to...
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Cerebellar Epigenetics: Transcription of microRNAs in Purkinje Neurons as an Approach to Neuronal Plasticity
Cerebellar plasticity is often investigated using brief electrical coactivation of climbing and parallel fiber pathways to evoke Long Term Depression...
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Coincidence detection and integration behavior in spiking neural networks
Recently, the interest in spiking neural networks (SNNs) remarkably increased, as up to now some key advances of biological neural networks are still...
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Cerebellar Representations of Errors and Internal Models
After decades of study, a comprehensive understanding of cerebellar function remains elusive. Several hypotheses have been put forward over the...
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State-Space Model with One Marked Point Process (MPP) Observation
Thus far we have considered binary observations and continuous observations in our state-space models. With binary observations, we do not consider...
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Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models
Understanding neural computation on the mechanistic level requires models of neurons and neuronal networks. To analyze such models one typically has...
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Multi-site Extracellular Electrode Neuronal Recordings in the Rodent Cerebellar Cortex and Nuclei
Multi-site electrodes have become essential tools for simultaneous recording of multiple neurons in vivo. Here, we aim to cover the basic knowledge...