scholarly journals Exploration of cerebellar-dependent associative learning in schizophrenia: Effects of varying and shifting interstimulus interval on eyeblink conditioning.

2011 ◽  
Vol 125 (5) ◽  
pp. 687-698 ◽  
Author(s):  
Amanda R. Bolbecker ◽  
Adam B. Steinmetz ◽  
Crystal S. Mehta ◽  
Jennifer K. Forsyth ◽  
Mallory J. Klaunig ◽  
...  
Keyword(s):  
Associative Learning ◽  
Interstimulus Interval ◽  
Eyeblink Conditioning

AN ATTRACTOR NEURAL NETWORK MODEL OF CLASSICAL CONDITIONING

1996 ◽  
Vol 07 (01) ◽  
pp. 1-18 ◽  
Author(s):  
SERGIO D. SERULNIK ◽  
MOSHE GUR
Keyword(s):  
Neural Network ◽  
Classical Conditioning ◽  
Associative Learning ◽  
Neural Network Model ◽  
Interstimulus Interval ◽  
Analytical Description ◽  
Time Constants ◽  
Forward Conditioning ◽  
Temporal Correlations ◽  
Conditioning Process

Living beings learn to associate known stimuli that exhibit specific temporal correlations. This kind of learning is called associative learning, and the process by which animals change their responses according to the schedule of arriving stimuli is called “classical conditioning”. In this paper, a conditionable neural network which exhibits features like forward conditioning, dependency on the interstimulus interval, and absence of backward and reverse conditioning is presented. An asymmetric neural network was used and its ability to retrieve a sequence of embedded patterns using a single recalling input was exploited. The main assumption was that synapses that respond with different time constants coexist in the system. These synapses induce transitions between different embedded patterns. The appearance of a correct transition when only the first stimulus is applied, is interpreted as a realization of the conditioning process. The model also allows the analytical description of the conditioning process in terms of internal and external or researcher-controlled variables.

scholarly journals Robust Reservoir Generation by Correlation-Based Learning

2009 ◽  
Vol 2009 ◽  
pp. 1-7
Author(s):  
Tadashi Yamazaki ◽  
Shigeru Tanaka
Keyword(s):  
Interstimulus Interval ◽  
Conditioned Response ◽  
Eyeblink Conditioning ◽  
Activity Patterns ◽  
Reservoir Computing ◽  
Input Stimulus ◽  
Connection Weight ◽  
Input Signals ◽  
Trace Eyeblink Conditioning ◽  
New Framework

Reservoir computing (RC) is a new framework for neural computation. A reservoir is usually a recurrent neural network with fixed random connections. In this article, we propose an RC model in which the connections in the reservoir are modifiable. Specifically, we consider correlation-based learning (CBL), which modifies the connection weight between a given pair of neurons according to the correlation in their activities. We demonstrate that CBL enables the reservoir to reproduce almost the same spatiotemporal activity patterns in response to an identical input stimulus in the presence of noise. This result suggests that CBL enhances the robustness in the generation of the spatiotemporal activity pattern against noise in input signals. We apply our RC model to trace eyeblink conditioning. The reservoir bridged the gap of an interstimulus interval between the conditioned and unconditioned stimuli, and a readout neuron was able to learn and express the timed conditioned response.

scholarly journals GluA4 enables associative memory formation by facilitating cerebellar expansion coding

2020 ◽  
Author(s):  
Katarzyna Kita ◽  
Catarina Albergaria ◽  
Ana S. Machado ◽  
Megan R. Carey ◽  
Martin Müller ◽  
...  
Keyword(s):  
Associative Learning ◽  
Associative Memory ◽  
Granule Cell ◽  
Ampa Receptors ◽  
Knockout Mice ◽  
Mossy Fiber ◽  
Eyeblink Conditioning ◽  
Memory Formation ◽  
Synaptic Excitation ◽  
Excitatory Neurotransmission

AbstractAMPA receptors (AMPARs) mediate excitatory neurotransmission in the CNS and their subunit composition determines synaptic efficacy. Whereas AMPAR subunits GluA1–GluA3 have been linked to particular forms of synaptic plasticity and learning, the functional role of GluA4 remains elusive. Here we used electrophysiological, computational and behavioral approaches to demonstrate a crucial function of GluA4 for synaptic excitation and associative memory formation in the cerebellum. Notably, GluA4-knockout mice had ∼80% reduced mossy fiber to granule cell synaptic transmission. The fidelity of granule cell spike output was markedly decreased despite attenuated tonic inhibition and increased NMDA receptor-mediated transmission. Computational modeling revealed that GluA4 facilitates pattern separation that is important for associative learning. On a behavioral level, while locomotor coordination was generally spared, GluA4-knockout mice failed to form associative memories during delay eyeblink conditioning. These results demonstrate an essential role for GluA4-containing AMPARs in cerebellar information processing and associative learning.

scholarly journals Effects of working memory load and CS-US intervals on delay eyeblink conditioning

2020 ◽  
Author(s):  
Leila Etemadi ◽  
Dan-Anders jirenhed ◽  
Anders Rasmussen
Keyword(s):  
Working Memory ◽  
Interstimulus Interval ◽  
Memory Load ◽  
Eyeblink Conditioning ◽  
Working Memory Load ◽  
Linear Mixed Effects Model ◽  
Linear Mixed Effects ◽  
Cerebellar Function ◽  
Conditioning Data ◽  
Conditioned Responses

Background: Eyeblink conditioning is used in many different species to study motor learning and make inferences about cerebellar function. However, considerable discrepancies in performance between different species combined with evidence that awareness of stimulus contingencies affects performance indicates that eyeblink conditioning in part reflects activity in non-cerebellar regions. This questions whether eyeblink conditioning can be used as a pure measure of cerebellar function in humans. Methods: Here we explored two ways to reduce non-cerebellar influences on performance in eyeblink conditioning: (1) using a short interstimulus interval, and (2) having participants do working memory tasks during the conditioning. Data were analyzed, and the influence of the interstimulus interval and working memory tasks was assessed using a linear mixed effects model. Results: Our results show that subjects trained with a short interstimulus interval (150ms and 250ms) produce few conditioned responses after 100 trials. For subjects trained with a longer interstimulus interval (500ms), those who did working memory tasks produced fewer conditioned responses and had a more gradual learning curve, more akin to those reported in the animal literature. Conclusions: Our results suggest that having subjects perform working memory tasks during eyeblink conditioning can be a viable strategy to reduce non-cerebellar interference in the learning.

scholarly journals Sex-Dependent Effects of Chronic Microdrive Implantation on Acquisition of Trace Eyeblink Conditioning

2021 ◽  
Author(s):  
Amy P Rapp ◽  
Timothy J Hark ◽  
John M Power ◽  
M Matthew Oh ◽  
Jeffrey N Savas ◽  
...  
Keyword(s):  
Sex Differences ◽  
Associative Learning ◽  
Mapk Pathway ◽  
Eyeblink Conditioning ◽  
Sexually Dimorphic ◽  
Male Mice ◽  
Tandem Mass Tag ◽  
The Impact ◽  
Trace Eyeblink Conditioning

Neuroscience techniques, including in vivo recording, have allowed for a great expansion in knowledge; however, this technology may also affect the very phenomena researchers set out to investigate. Including both female and male mice in our associative learning experiments shed light on sex differences on the impact of chronic implantation of tetrodes on learning. While previous research showed intact female mice acquired trace eyeblink conditioning faster than male and ovariectomized females, implantation of chronic microdrive arrays showed sexually dimorphic effects on learning. Microdrive implanted male mice acquired the associative learning paradigm faster than both intact and ovariectomized females. These effects were not due to the weight of the drive alone, as there were no significant sex-differences in learning of animals that received dummy drive implants without tetrodes lowered into the brain. Tandem mass tag mass spectrometry and western blot analysis suggest that significant alterations in the MAPK pathway, acute inflammation, and brain derived neurotrophic factor may underlie these observed sex- and surgery-dependent effects on learning.

scholarly journals Learned response sequences in cerebellar Purkinje cells

2017 ◽  
Vol 114 (23) ◽  
pp. 6127-6132 ◽  
Author(s):  
Dan-Anders Jirenhed ◽  
Anders Rasmussen ◽  
Fredrik Johansson ◽  
Germund Hesslow
Keyword(s):  
Purkinje Cells ◽  
Interstimulus Interval ◽  
Response Pattern ◽  
Mossy Fiber ◽  
Eyeblink Conditioning ◽  
Complex Motor ◽  
Cerebellar Purkinje Cells ◽  
Single Response ◽  
The Right ◽  
Stimulation Of

Associative learning in the cerebellum has previously focused on single movements. In eyeblink conditioning, for instance, a subject learns to blink at the right time in response to a conditional stimulus (CS), such as a tone that is repeatedly followed by an unconditional corneal stimulus (US). During conditioning, the CS and US are transmitted by mossy/parallel fibers and climbing fibers to cerebellar Purkinje cells that acquire a precisely timed pause response that drives the overt blink response. The timing of this conditional Purkinje cell response is determined by the CS–US interval and is independent of temporal patterns in the input signal. In addition to single movements, the cerebellum is also believed to be important for learning complex motor programs that require multiple precisely timed muscle contractions, such as, for example, playing the piano. In the present work, we studied Purkinje cells in decerebrate ferrets that were conditioned using electrical stimulation of mossy fiber and climbing fiber afferents as CS and US, while alternating between short and long interstimulus intervals. We found that Purkinje cells can learn double pause responses, separated by an intermediate excitation, where each pause corresponds to one interstimulus interval. The results show that individual cells can not only learn to time a single response but that they also learn an accurately timed sequential response pattern.

scholarly journals Training-Dependent Associative Learning Induced Neocortical Structural Plasticity: A Trace Eyeblink Conditioning Analysis

PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e95317 ◽  
Author(s):  
Lily S. Chau ◽  
Alesia V. Prakapenka ◽  
Liridon Zendeli ◽  
Ashley S. Davis ◽  
Roberto Galvez
Keyword(s):  
Associative Learning ◽  
Eyeblink Conditioning ◽  
Structural Plasticity ◽  
Trace Eyeblink Conditioning ◽  
Conditioning Analysis
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