Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell

Volker Steuber; E. De Schutter

doi:10.1016/S0925-2312(01)00458-1

Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell

Volker Steuber, E. De Schutter

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

It has been suggested that long-term depression (LTD) of parallel fibre (PF) synapses enables a cerebellar Purkinje cell (PC) to learn to recognise PF activity patterns. We investigate the recognition of PF patterns that have been stored by LTD of AMPA receptors in a multi-compartmental PC model with a passive soma. We iind that a corresponding artificial neural network outperforms a PC model with active dendrites by an order of magnitude. Removal of the dendritic ion channels leads to a further decrease in performance. Another effect of the active dendrites is an afterhyperpolarization response to novel PF patterns. Thus, the LTD based storage of PF patterns can lead to a potentiated late PC response. (C) 2001 Elsevier Science B.V. All rights reserved.

Original language	English
Pages (from-to)	383-388
Number of pages	6
Journal	Neurocomputing
Volume	38-40
DOIs	https://doi.org/10.1016/S0925-2312(01)00458-1
Publication status	Published - Jun 2001

Keywords

cerebellum Purkinje cells
LTD
pattern recognition
learning
ACTIVE MEMBRANE MODEL
SIMULATION
RESPONSES

Access to Document

10.1016/S0925-2312(01)00458-1

Cite this

@article{4626e4dffe9549ada7525d15d32bc263,

title = "Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell",

abstract = "It has been suggested that long-term depression (LTD) of parallel fibre (PF) synapses enables a cerebellar Purkinje cell (PC) to learn to recognise PF activity patterns. We investigate the recognition of PF patterns that have been stored by LTD of AMPA receptors in a multi-compartmental PC model with a passive soma. We iind that a corresponding artificial neural network outperforms a PC model with active dendrites by an order of magnitude. Removal of the dendritic ion channels leads to a further decrease in performance. Another effect of the active dendrites is an afterhyperpolarization response to novel PF patterns. Thus, the LTD based storage of PF patterns can lead to a potentiated late PC response. (C) 2001 Elsevier Science B.V. All rights reserved.",

keywords = "cerebellum Purkinje cells, LTD, pattern recognition, learning, ACTIVE MEMBRANE MODEL, SIMULATION, RESPONSES",

author = "Volker Steuber and {De Schutter}, E.",

note = "Full text of this article is not available in the UHRA",

year = "2001",

month = jun,

doi = "10.1016/S0925-2312(01)00458-1",

language = "English",

volume = "38-40",

pages = "383--388",

journal = "Neurocomputing",

issn = "0925-2312",

publisher = "Elsevier",

}

TY - JOUR

T1 - Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell

AU - Steuber, Volker

AU - De Schutter, E.

N1 - Full text of this article is not available in the UHRA

PY - 2001/6

Y1 - 2001/6

N2 - It has been suggested that long-term depression (LTD) of parallel fibre (PF) synapses enables a cerebellar Purkinje cell (PC) to learn to recognise PF activity patterns. We investigate the recognition of PF patterns that have been stored by LTD of AMPA receptors in a multi-compartmental PC model with a passive soma. We iind that a corresponding artificial neural network outperforms a PC model with active dendrites by an order of magnitude. Removal of the dendritic ion channels leads to a further decrease in performance. Another effect of the active dendrites is an afterhyperpolarization response to novel PF patterns. Thus, the LTD based storage of PF patterns can lead to a potentiated late PC response. (C) 2001 Elsevier Science B.V. All rights reserved.

AB - It has been suggested that long-term depression (LTD) of parallel fibre (PF) synapses enables a cerebellar Purkinje cell (PC) to learn to recognise PF activity patterns. We investigate the recognition of PF patterns that have been stored by LTD of AMPA receptors in a multi-compartmental PC model with a passive soma. We iind that a corresponding artificial neural network outperforms a PC model with active dendrites by an order of magnitude. Removal of the dendritic ion channels leads to a further decrease in performance. Another effect of the active dendrites is an afterhyperpolarization response to novel PF patterns. Thus, the LTD based storage of PF patterns can lead to a potentiated late PC response. (C) 2001 Elsevier Science B.V. All rights reserved.

KW - cerebellum Purkinje cells

KW - LTD

KW - pattern recognition

KW - learning

KW - ACTIVE MEMBRANE MODEL

KW - SIMULATION

KW - RESPONSES

U2 - 10.1016/S0925-2312(01)00458-1

DO - 10.1016/S0925-2312(01)00458-1

M3 - Article

SN - 0925-2312

VL - 38-40

SP - 383

EP - 388

JO - Neurocomputing

JF - Neurocomputing

ER -

Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell

Abstract

Keywords

Access to Document

Fingerprint

Cite this