Literature DB >> 6644367

Single-unit analysis of different hippocampal cell types during classical conditioning of rabbit nictitating membrane response.

T W Berger, P C Rinaldi, D J Weisz, R F Thompson.   

Abstract

Extracellular single-unit recordings from neurons in the CA1 and CA3 regions of the dorsal hippocampus were monitored during classical conditioning of the rabbit nictitating membrane response. Neurons were classified as different cell types using response to fornix stimulation (i.e., antidromic or orthodromic activation) and spontaneous firing characteristics as criteria. Results showed that hippocampal pyramidal neurons exhibit learning-related neural plasticity that develops gradually over the course of classical conditioning. The learning-dependent pyramidal cell response is characterized by an increase in frequency of firing within conditioning trials and a within-trial pattern of discharge that correlates strongly with amplitude-time course of the behavioral response. In contrast, pyramidal cell activity recorded from control animals given unpaired presentations of the conditioned and unconditioned stimulus (CS and UCS) does not show enhanced discharge rates with repeated stimulation. Previous studies of hippocampal cellular electrophysiology have described what has been termed a theta-cell (19-21, 45), the activity of which correlates with slow-wave theta rhythm generated in the hippocampus. Neurons classified as theta-cells in the present study exhibit responses during conditioning that are distinctly different than pyramidal cells. theta-Cells respond during paired conditioning trials with a rhythmic bursting; the between-burst interval occurs at or near 8 Hz. In addition, two different types of theta-cells were distinguishable. One type of theta-cell increases firing frequency above pretrial levels while displaying the theta bursting pattern. The other type decreases firing frequency below pretrial rates while showing a theta-locked discharge. In addition to pyramidal and theta-neurons, several other cell types recorded in or near the pyramidal cell layer could be distinguished. One cell type was distinctive in that it could be activated with a short, invariant latency following fornix stimulation, but spontaneous action potentials of such neurons could not be collided with fornix shock-induced action potentials. These neurons exhibit a different profile of spontaneous firing characteristics than those of antidromically identified pyramidal cells. Nevertheless, neurons in this noncollidable category display the same learning-dependent response as pyramidal cells. It is suggested that the noncollidable neurons represent a subpopulation of pyramidal cells that do not project an axon via the fornix but project, instead, to other limbic cortical regions.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1983        PMID: 6644367     DOI: 10.1152/jn.1983.50.5.1197

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  74 in total

1.  Dynamics of hippocampal ensemble activity realignment: time versus space.

Authors:  A D Redish; E S Rosenzweig; J D Bohanick; B L McNaughton; C A Barnes
Journal:  J Neurosci       Date:  2000-12-15       Impact factor: 6.167

2.  Common firing patterns of hippocampal cells in a differential reinforcement of low rates of response schedule.

Authors:  B Young; N McNaughton
Journal:  J Neurosci       Date:  2000-09-15       Impact factor: 6.167

Review 3.  The role of interpositus nucleus in eyelid conditioned responses.

Authors:  J M Delgado-García; A Gruart
Journal:  Cerebellum       Date:  2002-12       Impact factor: 3.847

Review 4.  Memory traces of trace memories: neurogenesis, synaptogenesis and awareness.

Authors:  Tracey J Shors
Journal:  Trends Neurosci       Date:  2004-05       Impact factor: 13.837

5.  A mechanism for the formation of hippocampal neuronal firing patterns that represent what happens where.

Authors:  Adriano B L Tort; Robert Komorowski; Nancy Kopell; Howard Eichenbaum
Journal:  Learn Mem       Date:  2011-10-21       Impact factor: 2.460

Review 6.  Packet-based communication in the cortex.

Authors:  Artur Luczak; Bruce L McNaughton; Kenneth D Harris
Journal:  Nat Rev Neurosci       Date:  2015-10-28       Impact factor: 34.870

Review 7.  The impact of hippocampal lesions on trace-eyeblink conditioning and forebrain-cerebellar interactions.

Authors:  Craig Weiss; John F Disterhoft
Journal:  Behav Neurosci       Date:  2015-08       Impact factor: 1.912

8.  Acute stress facilitates trace eyeblink conditioning in C57BL/6 male mice and increases the excitability of their CA1 pyramidal neurons.

Authors:  Craig Weiss; Evgeny Sametsky; Astrid Sasse; Joachim Spiess; John F Disterhoft
Journal:  Learn Mem       Date:  2005 Mar-Apr       Impact factor: 2.460

9.  Functional mapping of human learning: a positron emission tomography activation study of eyeblink conditioning.

Authors:  T A Blaxton; T A Zeffiro; J D Gabrieli; S Y Bookheimer; M C Carrillo; W H Theodore; J F Disterhoft
Journal:  J Neurosci       Date:  1996-06-15       Impact factor: 6.167

10.  An experimental model for the study of cognitive disorders: the hippocampus and associative learning in mice.

Authors:  José M Delgado-García; Agnès Gruart
Journal:  Neurotox Res       Date:  2008-12       Impact factor: 3.911

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