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Hippocampal pyramidal cells: significance of dendritic ionic conductances for neuronal function and epileptogenesis

Traub RD; Llinas R
1. Starting with published data derived mainly from hippocampal slice preparations, we have used computer-modeling techniques to study hippocampal pyramidal cells (HPCs). 2. The dendrites of the HPC apparently have a short electrotonic length. Calcium spikes are apparently generated by a voltage-dependent mechanism whose kinetics are slow in comparison with those generating sodium spikes of the soma. Inward calcium currents are assumed to trigger a long-lasting potassium conductance. This slow calcium-potassium system, which in our model is located predominantly on the dendrites, provides a heuristic model to describe the mechanism for a) the after-depolarization following an HPC soma (sodium) spike, b) the long afterhyperpolarization following repetitive firing, c) bursts of spikes that sometimes occur after orthodromic or antidromic stimulation, and d) the buildup of the 'depolarizing shift' during the strong synaptic input presumed to occur during seizures. 3. Fast prepotentials or d-spikes are shown to arise most probably from dendritic 'hot spots' of sodium-regenerative membrane. The limited amplitude and short duration of these prepotentials imply that the hot spots are located on small dendrites. 4. Dendritic electroresponsiveness, first postulated for the HPC by Spencer and Kandel (52), is analyzed quantitatively here and is shown to provide rich integrative possibilities for this cell. Our model suggests that, for these nerve cells, alterations in specific membrane properties, particularly calcium electroresponsiveness, can lead to bursting behavior that resembles epileptogenic neuronal responses.
PMID: 422974
ISSN: 0022-3077
CID: 9974

GENERAL-APPROACH TO THE PROBLEM OF DISTRIBUTED BRAIN-FUNCTION [Note]

Pellionisz, A; Llinas, R
ISI:A1979JF45000003
ISSN: 0025-5998
CID: 28040

A model for synaptic transmission

Llinas R; Steinberg IZ; Walton K
PMID: 37993
ISSN: 0361-9230
CID: 9976

Calcium conductances in Purkinje cell dendrites: their role in development and integration

Llinas R; Sugimori M
PMID: 551484
ISSN: 0079-6123
CID: 8474

Brain modeling by tensor network theory and computer simulation. The cerebellum: distributed processor for predictive coordination

Pellionisz A; Llinas R
PMID: 431817
ISSN: 0306-4522
CID: 9975

Place of the cerebellum in motor learning

Chapter by: Llinas R; Walton K
in: Brain mechanisms in memory and learning by Brazier, MA [Eds]
New York, Raven Press, 1979
pp. 17-36
ISBN: 0890041601
CID: 2530

Vestibular compensation: a distributive property of the central nervous system

Chapter by: Llinas R; Walton K
in: Integration in the nervous system by de No RL; Wilson VJ; Asanuma H; Lloyd DPC [Eds]
Tokyo : Igaku-Shoin, 1979
pp. 145-166
ISBN: 0896400336
CID: 3246

Cerebellar coordination: covariant analysis and contravariant synthesis via metric tensor. A tensorial approach to the geometry of brain fuction [Meeting Abstract]

Pellionisz A; Llinas R
ORIGINAL:0004809
ISSN: 0190-5295
CID: 44682

A non-inactivating voltage-dependent sodium conductance in mammalian Purkinje cells somata, studied in vitro [Meeting Abstract]

Sugimori M; Llinas R
ORIGINAL:0004810
ISSN: 0190-5295
CID: 44683

Electrophysiological properties of mammalian inferior olive neuron in in vitro brain stem slices and in vitro whole brain stem [Meeting Abstract]

Yarom Y; Llinas R
ORIGINAL:0004811
ISSN: 0190-5295
CID: 44684