Literature DB >> 23968151

The hippocampus and cerebellum in adaptively timed learning, recognition, and movement.

S Grossberg1, J W Merrill.   

Abstract

The concepts of declarative memory and procedural memory have been used to distinguish two basic types of learning. A neural network model suggests how such memory processes work together as recognition learning, reinforcement learning, and sensorimotor learning take place during adaptive behaviors. To coordinate these processes, the hippocampal formation and cerebellum each contains circuits that learn to adaptively time their outputs. Within the model, hippocampal timing helps to maintain attention on motivationally salient goal objects during variable task-related delays, and cerebellar timing controls the release of conditioned responses. This property is part of the model's description of how cognitive-emotional interactions focus attention on motivationally valued cues, and how this process breaks down due to hippocampal ablation. The model suggests that the hippocampal mechanisms that help to rapidly draw attention to salient cues could prematurely release motor commands were not the release of these commands adaptively timed by the cerebellum. The model hippocampal system modulates cortical recognition learning without actually encoding the representational information that the cortex encodes. These properties avoid the difficulties faced by several models that propose a direct hippocampal role in recognition learning. Learning within the model hippocampal system controls adaptive timing and spatial orientation. Model properties hereby clarify how hippocampal ablations cause amnesic symptoms and difficulties with tasks which combine task delays, novelty detection, and attention toward goal objects amid distractions. When these model recognition, reinforcement, sensorimotor, and timing processes work together, they suggest how the brain can accomplish conditioning of multiple sensory events to delayed rewards, as during serial compound conditioning.

Entities:  

Year:  1996        PMID: 23968151     DOI: 10.1162/jocn.1996.8.3.257

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  15 in total

1.  How the basal ganglia use parallel excitatory and inhibitory learning pathways to selectively respond to unexpected rewarding cues.

Authors:  J Brown; D Bullock; S Grossberg
Journal:  J Neurosci       Date:  1999-12-01       Impact factor: 6.167

2.  A neural network model of foraging decisions made under predation risk.

Authors:  Scott L Coleman; Vincent R Brown; Daniel S Levine; Roger L Mellgren
Journal:  Cogn Affect Behav Neurosci       Date:  2005-12       Impact factor: 3.282

Review 3.  Cortical and subcortical predictive dynamics and learning during perception, cognition, emotion and action.

Authors:  Stephen Grossberg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-05-12       Impact factor: 6.237

4.  Metabotropic glutamate receptor activation in cerebellar Purkinje cells as substrate for adaptive timing of the classically conditioned eye-blink response.

Authors:  J C Fiala; S Grossberg; D Bullock
Journal:  J Neurosci       Date:  1996-06-01       Impact factor: 6.167

5.  Unattended exposure to components of speech sounds yields same benefits as explicit auditory training.

Authors:  Aaron R Seitz; Athanassios Protopapas; Yoshiaki Tsushima; Eleni L Vlahou; Simone Gori; Stephen Grossberg; Takeo Watanabe
Journal:  Cognition       Date:  2010-03-25

6.  A neural model of normal and abnormal learning and memory consolidation: adaptively timed conditioning, hippocampus, amnesia, neurotrophins, and consciousness.

Authors:  Daniel J Franklin; Stephen Grossberg
Journal:  Cogn Affect Behav Neurosci       Date:  2017-02       Impact factor: 3.282

7.  Coordinated learning of grid cell and place cell spatial and temporal properties: multiple scales, attention and oscillations.

Authors:  Stephen Grossberg; Praveen K Pilly
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-12-23       Impact factor: 6.237

Review 8.  The hippocampus, time, and memory across scales.

Authors:  Marc W Howard; Howard Eichenbaum
Journal:  J Exp Psychol Gen       Date:  2013-08-05

9.  Why trace and delay conditioning are sometimes (but not always) hippocampal dependent: a computational model.

Authors:  Ahmed A Moustafa; Ella Wufong; Richard J Servatius; Kevin C H Pang; Mark A Gluck; Catherine E Myers
Journal:  Brain Res       Date:  2012-11-23       Impact factor: 3.252

10.  How entorhinal grid cells may learn multiple spatial scales from a dorsoventral gradient of cell response rates in a self-organizing map.

Authors:  Stephen Grossberg; Praveen K Pilly
Journal:  PLoS Comput Biol       Date:  2012-10-04       Impact factor: 4.475

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