about
A defined heteromeric KV1 channel stabilizes the intrinsic pacemaking and regulates the output of deep cerebellar nuclear neurons to thalamic targets25th Annual Computational Neuroscience Meeting: CNS-2016Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells.Cerebellar LTD and pattern recognition by Purkinje cells.Patterns and pauses in Purkinje cell simple spike trains: experiments, modeling and theory.Creating, documenting and sharing network models.Modeling the generation of output by the cerebellar nucleiDistinctive role of KV1.1 subunit in the biology and functions of low threshold K(+) channels with implications for neurological disease.STD-dependent and independent encoding of input irregularity as spike rate in a computational model of a cerebellar nucleus neuron.Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise.Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances.Synaptic depression enables neuronal gain controlClustering predicts memory performance in networks of spiking and non-spiking neurons.A biophysical model of synaptic delay learning and temporal pattern recognition in a cerebellar Purkinje cell.Short-term depression of inhibitory Purkinje cell synapses enhances gain modulation in the cerebellar nuclei.26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3.The beneficial effects of non-specific synaptic plasticity for pattern recognition in auto-associative memory.Information theoretical analysis of differences in information transmission in cerebellar Purkinje cells across species.The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience.Review of combinations of experimental and computational techniques to identify and understand genes involved in innate immunity and effector-triggered defence.Using NeuroML and neuroConstruct to build neuronal network models for multiple simulators.Determinants of gain modulation enabled by short-term depression at an inhibitory cerebellar synapse.Combining machine learning and simulations of a morphologically realistic model to study modulation of neuronal activity in cerebellar nuclei during absence epilepsy.βCaMKII regulates bidirectional long-term plasticity in cerebellar Purkinje cells by a CaMKII/PP2B switch mechanism.Non-specific LTD at parallel fibre - Purkinje cell synapses in cerebellar cortex provides robustness against local spatial noise during pattern recognition.The implications of evolutionary changes in the dendritic morphology of cerebellar Purkinje cells for information processing.Interoperability in the GENESIS 3.0 Software Federation: the NEURON Simulator as an Example.Filamentous actin binding enables βCaMKII to regulate bidirectional plasticity in cerebellar Purkinje cells.Characterising the performance of balanced memory networks.From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition.A potential role for the cerebellar nuclei in absence seizures.Does CaMKII decode Ca2+ oscillations?Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes.Optimization of input parameters to a CN neuron model to simulate its activity during and between epileptic absence seizures.Evolving small spiking neural networks to work as state machines for temporal pattern recognition.Using transfer entropy to study synaptic integration in Purkinje cells.Structural plasticity and associative memory in balanced neural networks with spike-time dependent inhibitory plasticity.Animal control by spiking neural networks evolved with a genetic algorithm.Generation of time delays: simplified models of intracellular signalling in cerebellar Purkinje cells.Evolution of bistable dynamics in spiking neural controllers for agents performing olfactory attraction and aversion.
P50
Q28581867-30A81BA3-5A67-45F6-80F5-6138FD162D62Q28596987-BB066CA4-D970-4067-8594-87B6E694FC23Q33739276-E1754F2B-B39E-4EC2-B3B3-FACDB49914B2Q35830172-6078D318-9ED5-4713-8298-4A5C437B793BQ37403157-E47BFA3C-5C97-452F-825F-95BF467ECE1AQ38045007-E2E62B3D-98D2-4825-BBF1-798EF4800D3CQ38064103-DC6166DA-855A-4559-8418-AD412E54A3A1Q38716410-C9B30780-6877-45F5-ADBA-9309D01F2CECQ39099673-D483B968-62F1-4ADE-AE11-806DA1B36C6BQ41782470-B6E4B069-DE35-4869-92C3-8DABAA52C6D0Q41970057-C6291230-A561-4134-94FE-21D593D3FE94Q42189114-B35DD71D-474E-45AD-B7D0-8F808EDC9EF3Q42710450-7D51F12B-0686-4630-8B3A-722B702988DCQ45015278-74E0AF85-A7F1-465C-A380-E9AAF6DAFFA8Q45815936-8D99F0FA-DDB8-47A7-8B5E-D50A5F53648CQ45879038-6D7578D0-B056-41B5-A555-DF18B478D34AQ45901668-88111806-A531-4FA6-BD0B-C4BA0D528BB3Q45906100-16799E44-EA9F-4076-9470-E505956BC040Q45919898-A75701D7-A6B1-4375-9F97-39567242F95EQ45945885-6ABC777A-E885-4F5A-B729-04D2E8ED1635Q45984308-806869CF-2A69-4FF5-86CC-EBAD0C9AD7C9Q46032276-E1873B85-D503-4097-A223-B63D9856DC07Q46047530-33C942A9-94BA-4E0E-8190-988A964E2FA3Q46047902-DEBA5160-86FD-4C00-A68F-60BAFE44D3DEQ46072647-03F4442F-D355-4DA6-94B2-343DA18057B5Q46135822-4C41AC2C-2845-4484-9A57-60B607C707DBQ46137447-EBA1BD9F-4263-4C48-89E1-291D16E71C87Q46137595-41978002-0B6F-4673-8038-63FD357B68FCQ46137767-6E5B7BDA-1921-4E81-9B86-3680EA103161Q46138146-408B4918-A1D4-4B33-B9B1-9677FD452A29Q46139229-17630220-D21B-4519-B11C-018E3313AD4EQ46387183-2A7BAAFE-5833-4224-A8E2-45407E9B42DEQ46388151-A1FFA7F9-480B-4E4B-B63D-314107A94A0AQ46478819-2BD6AEAB-8500-4542-916D-CD99A3192318Q46478835-8A5DD627-BDF6-4652-9BBE-BED926973326Q46479191-3E09F10F-7764-46B6-825F-3455E4DFC5D1Q46479388-3ED6CC55-917F-450D-85BC-C45D966A0EF3Q46481006-D0D15A47-87BE-4C9B-B892-2187F147D4D2Q48480056-88E9940C-EC3B-4042-9EA2-B6B5344B66F2Q50280899-C1C0276A-97DA-49BF-ADCC-56A509F280D4
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Volker Steuber
@ast
Volker Steuber
@en
Volker Steuber
@es
Volker Steuber
@nl
Volker Steuber
@sl
type
label
Volker Steuber
@ast
Volker Steuber
@en
Volker Steuber
@es
Volker Steuber
@nl
Volker Steuber
@sl
prefLabel
Volker Steuber
@ast
Volker Steuber
@en
Volker Steuber
@es
Volker Steuber
@nl
Volker Steuber
@sl
P108
P106
P1153
6603424105
P21
P2456
P31
P496
0000-0003-0186-3580