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Decoding of Purkinje cell pauses by deep cerebellar nucleus neurons
Johannes Luthman
,
Roderick Adams
, N. Davey
,
Reinoud Maex
,
Volker Steuber
Centre for AI and Robotics Research
Department of Computer Science
School of Physics, Engineering & Computer Science
Centre of Data Innovation Research
Biocomputation Research Group
Research output
:
Chapter in Book/Report/Conference proceeding
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Conference contribution
112
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Keyphrases
Awake Mice
6%
Cell Firing
20%
Cell Response
13%
Cerebellar Learning
6%
Climbing Fiber
6%
Conductance-based
6%
Deep Cerebellar nuclei
100%
Electrophysiological Recordings
6%
Firing Rate
13%
GABAergic Synapse
6%
Input Pattern
20%
Long-term Depression
20%
Multi-compartment
6%
Neural Coding
6%
Novel Patterns
13%
Nucleus Model
26%
Number of Spikes
6%
Parallel Fiber
93%
Pattern Recognition
13%
Pause Response
6%
Purkinje Cell
100%
Rebound Burst
13%
Recognition Performance
6%
Short Pause
6%
Signal-to-noise Ratio
13%
Spike Response
13%
Synapse
13%
Two-layer Network
6%
Neuroscience
Climbing Fiber
6%
Deep Cerebellar Nuclei
100%
Firing Rate
13%
Long-Term Depression
20%
Parallel Fiber
93%
Pattern Recognition
13%
Purkinje Cell
100%
Signal-to-Noise Ratio
13%
Synapse
20%