Literature DB >> 28025812

The Anatomy and Physiology of Eyeblink Classical Conditioning.

Kaori Takehara-Nishiuchi1.   

Abstract

This chapter reviews the past research toward identifying the brain circuit and its computation underlying the associative memory in eyeblink classical conditioning. In the standard delay eyeblink conditioning paradigm, the conditioned stimulus (CS) and eyeblink-eliciting unconditioned stimulus (US) converge in the cerebellar cortex and interpositus nucleus (IPN) through the pontine nuclei and inferior olivary nucleus. Repeated pairings of CS and US modify synaptic weights in the cerebellar cortex and IPN, enabling IPN neurons to activate the red nucleus and generate the conditioned response (CR). In a variant of the standard paradigm, trace eyeblink conditioning, the CS and US are separated by a brief stimulus-free trace interval. Acquisition in trace eyeblink conditioning depends on several forebrain regions, including the hippocampus and medial prefrontal cortex as well as the cerebellar-brainstem circuit. Details of computations taking place in these regions remain unclear; however, recent evidence supports a view that the forebrain encodes a temporal sequence of the CS, trace interval, and US in a specific environmental context and signals the cerebellar-brainstem circuit to execute the CR when the US is likely to occur. Together, delay eyeblink conditioning represents one of the most successful cases of understanding the neural substrates of long-term memory in mammals, while trace eyeblink conditioning demonstrates its utility for uncovering detailed computations in the whole brain network underlying long-term memory.

Entities:  

Keywords:  Associative memory; Cerebellum; Hippocampus; Nictitating membrane

Mesh:

Year:  2018        PMID: 28025812     DOI: 10.1007/7854_2016_455

Source DB:  PubMed          Journal:  Curr Top Behav Neurosci        ISSN: 1866-3370


  13 in total

1.  The Use of Trace Eyeblink Classical Conditioning to Assess Hippocampal Dysfunction in a Rat Model of Fetal Alcohol Spectrum Disorders.

Authors:  Tuan D Tran; Aenia Amin; Keith G Jones; Ellen M Sheffer; Lidia Ortega; Keith Dolman
Journal:  J Vis Exp       Date:  2017-08-05       Impact factor: 1.355

2.  Hippocampal electrical stimulation disrupts associative learning when targeted at dentate spikes.

Authors:  Miriam S Nokia; Irina Gureviciene; Tomi Waselius; Heikki Tanila; Markku Penttonen
Journal:  J Physiol       Date:  2017-05-23       Impact factor: 5.182

3.  Cerebellar Processing Common to Delay and Trace Eyelid Conditioning.

Authors:  Hunter E Halverson; Andrei Khilkevich; Michael D Mauk
Journal:  J Neurosci       Date:  2018-07-16       Impact factor: 6.167

4.  Distributed representations of temporal stimulus associations across regular-firing and fast-spiking neurons in rat medial prefrontal cortex.

Authors:  Bohan Xing; Mark D Morrissey; Kaori Takehara-Nishiuchi
Journal:  J Neurophysiol       Date:  2019-12-18       Impact factor: 2.714

5.  Prefrontal Neural Ensembles Develop Selective Code for Stimulus Associations within Minutes of Novel Experiences.

Authors:  Kaori Takehara-Nishiuchi; Mark D Morrissey; Maryna Pilkiw
Journal:  J Neurosci       Date:  2020-09-28       Impact factor: 6.167

6.  Ventromedial Thalamus-Projecting DCN Neurons Modulate Associative Sensorimotor Responses in Mice.

Authors:  Jie Zhang; Hao Chen; Li-Bin Zhang; Rong-Rong Li; Bin Wang; Qian-Hui Zhang; Liu-Xia Tong; Wei-Wei Zhang; Zhong-Xiang Yao; Bo Hu
Journal:  Neurosci Bull       Date:  2022-01-06       Impact factor: 5.271

7.  Lateral Entorhinal Cortex Suppresses Drift in Cortical Memory Representations.

Authors:  Maryna Pilkiw; Justin Jarovi; Kaori Takehara-Nishiuchi
Journal:  J Neurosci       Date:  2021-12-15       Impact factor: 6.709

8.  Changes in cerebellar intrinsic neuronal excitability and synaptic plasticity result from eyeblink conditioning.

Authors:  Bernard G Schreurs
Journal:  Neurobiol Learn Mem       Date:  2019-09-19       Impact factor: 2.877

9.  Prefrontal Theta Oscillations Promote Selective Encoding of Behaviorally Relevant Events.

Authors:  Justin Jarovi; Julien Volle; Xiaotian Yu; Lisa Guan; Kaori Takehara-Nishiuchi
Journal:  eNeuro       Date:  2018-01-10

10.  Brain-inspired classical conditioning model.

Authors:  Yuxuan Zhao; Yi Zeng; Guang Qiao
Journal:  iScience       Date:  2020-12-25
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