Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Filters








23,084 Hits in 4.0 sec

A computational model of hippocampal function in trace conditioning

Elliot A. Ludvig, Richard S. Sutton, Eric Verbeek, E. James Kehoe
2008 Neural Information Processing Systems  
We introduce a new reinforcement-learning model for the role of the hippocampus in classical conditioning, focusing on the differences between trace and delay conditioning.  ...  In the model, all stimuli are represented both as unindividuated wholes and as a series of temporal elements with varying delays.  ...  In this paper, we present a new abstract computational model of hippocampal function during trace conditioning.  ... 
dblp:conf/nips/LudvigSVK08 fatcat:4twp3f44xvcgll7ik5dxaz3r24

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

Ahmed A. Moustafa, Ella Wufong, Richard J. Servatius, Kevin C.H. Pang, Mark A. Gluck, Catherine E. Myers
2013 Brain Research  
model provides a unified account of the hippocampal region in mediating the representation of temporal information in classical eyeblink conditioning.  ...  Here, we present an extension of our prior trial-level models of hippocampal function and stimulus representation that can explain these findings within a unified framework.  ...  Acknowledgments This work was partially supported by the NSF/NIH Collaborative Research in Computational Neuroscience (CRCNS) program and by NIAAA (RO1 AA018737-01).  ... 
doi:10.1016/j.brainres.2012.11.020 pmid:23178699 pmcid:PMC3873755 fatcat:fcclis5shrdv7pr23vev57qrsu

Hippocampal Volume, Neurite Density and Trace Eye-Blink Conditioning in Young Children [article]

Vanessa Vieites, Yvonne Ralph, Bethany Reeb-Sutherland, Anthony Steven Dick, Aaron T. Mattfeld, Shannon M Pruden
2022 bioRxiv   pre-print
The current study examined the relations between hippocampal structure (e.g., volume and neurite density) and performance on a trace eye blink conditioning (EBC) task in young children.  ...  changes in the hippocampus assisted in the accurate timing of conditioned responses.  ...  the current study sought to assess the validity of using a hippocampal-dependent trace EBC paradigm as a proxy for hippocampal function by investigating the neural correlates of both trace EBC performance  ... 
doi:10.1101/2022.01.03.474711 fatcat:5opkenm45bg67jittfbqfgq5aa

What Does the Hippocampus Compute?: A Precis of the 1993 NIPS Workshop

Mark A. Gluck
1993 Neural Information Processing Systems  
Computational models of the hippocampal-region provide an important method for understanding the functional role of this brain system in learning and memory .  ...  Other models take a "bottom-up" approach, seeking to infer emergent computational and functional properties from detailed analyses of circuit connectivity and physiology (see Gluck & Granger, 1993, for  ...  He described a computational account of hippocampal-region function in classical conditioning (Gluck & Myers, 1993; Myers & Gluck, 1994) .  ... 
dblp:conf/nips/Gluck93 fatcat:ekmqh54qjfdhxj5mo4deepjnfq

A neural network approach to hippocampal function in classical conditioning

Nestor A. Schmajuk, James J. DiCarlo
1991 Behavioral Neuroscience  
Hippocampal participation in classical conditioning in terms of Grossberg's (1975) attentional theory is described.  ...  The resulting neural model provides (a) a framework for understanding the dynamics of information processing and storage in the hippocampus and cerebellum during classical conditioning of the rabbit's  ...  This research was supported in part by Grant BRSG S07 RR07028-22 awarded by the Biomedical Research Support Grant Program, Division of Research Resources, National Institutes of Health.  ... 
doi:10.1037/0735-7044.105.1.82 fatcat:lvaxupaqgbcsxc5vv7mxzmmfxu

A neural network approach to hippocampal function in classical conditioning

Nestor A. Schmajuk, James J. DiCarlo
1991 Behavioral Neuroscience  
Hippocampal participation in classical conditioning in terms of Grossberg's (1975) attentional theory is described.  ...  The resulting neural model provides (a) a framework for understanding the dynamics of information processing and storage in the hippocampus and cerebellum during classical conditioning of the rabbit's  ...  This research was supported in part by Grant BRSG S07 RR07028-22 awarded by the Biomedical Research Support Grant Program, Division of Research Resources, National Institutes of Health.  ... 
doi:10.1037//0735-7044.105.1.82 pmid:2025396 fatcat:rf3lm76fv5b5hm6t7fbuixhm4q

A computational model of episodic memory formation in the hippocampal system

Lokendra Shastri
2001 Neurocomputing  
The memorization of events and situations (episodic memory) requires the rapid formation of a memory trace consisting of several functional components.  ...  A computational model is described that demonstrates how a transient pattern of activity representing an episode can lead to the rapid recruitment of appropriate circuits as a result of long-term potentiation  ...  Conclusion The proposed computational model explains how a transient pattern of activity representing an event can lead to the formation of a functionally adequate memory trace in the HS.  ... 
doi:10.1016/s0925-2312(01)00388-5 fatcat:63cgzuhc75b23bbo6nl7w5lzsm

Page 1570 of The Journal of Neuroscience Vol. 26, Issue 5 [page]

2006 The Journal of Neuroscience  
Rodriguez P, Levy WB (2001) A model of hippocampal activity in trace conditioning: where’ s the trace? Behav Neurosci 115:1224—1238.  ...  Hasselmo ME, Bodelon C, Wyble BP (2002) A proposed function for hip- pocampal theta rhythm: separate phases of encoding and retrieval en- hance reversal of prior learning. Neural Comput 14:793-817.  ... 

Real-time attentional models for classical conditioning and the hippocampus

Nestor A. Schmajuk, John W. Moore
1985 Physiological Psychology  
By assuming that hippocampal lesions (HL) affect computations that control the rate of learning, both models are able to simulate HL effects on many classical conditioning paradigms.  ...  Computer simulations using both models were carried out for the following protocols: acquisition under simultaneous, delay, and trace conditioning, conditioned inhibition, V extinction, latent inhibition  ...  Moore and Stickney (M-S) (1980) proposed a mathematical model of hippocampal function in classical conditioning that meets the above requirements .  ... 
doi:10.3758/bf03326534 fatcat:nswmkrguffcedl53d52c2q36kq

Nonpharmacological amelioration of age-related learning deficits: The impact of hippocampal -triggered training

Y. Asaka, K. N. Mauldin, A. L. Griffin, M. A. Seager, E. Shurell, S. D. Berry
2005 Proceedings of the National Academy of Sciences of the United States of America  
In the aging literature, trace EB conditioning seems to be highly indicative of functional senescence, revealing the impact of aging on behavioral and neurobiological learning systems in both animal and  ...  In brief, EB conditioning in the trace paradigm starts with onset of a conditioned stimulus (CS, e.g., tone), and CS offset occurs before the unconditioned stimulus (US, e.g., airpuff) onset, creating  ...  Several influential computational and neurobiological models of hippocampal plasticity during learning posit a critical role for rhythms (3, 4, 8, 9, 67, 68) .  ... 
doi:10.1073/pnas.0506515102 pmid:16150707 pmcid:PMC1201623 fatcat:hiqk7vzft5he5jwb4vtmkgluou

Towards a unified model of pavlovian conditioning: short review of trace conditioning models

V. I. Kryukov
2012 Cognitive Neurodynamics  
Eight representative models of trace conditioning aimed at building a prospective model are being reviewed below in a brief form.  ...  There are several excellent reviews of computational models of classical conditioning but none has thus far been devoted to trace conditioning.  ...  Modeling of trace conditioning is a rather difficult computational problem mainly due to a time gap between CS and US.  ... 
doi:10.1007/s11571-012-9195-z pmid:24082960 pmcid:PMC3438324 fatcat:2yjaa7355raljo7cuoltzqiaki

A Computational Model of Systems Memory Consolidation and Reconsolidation [article]

Peter Helfer, Thomas R. Shultz
2019 arXiv   pre-print
Here, we propose a neural model based on well-documented mechanisms of synaptic plasticity and stability and describe a computational implementation that demonstrates the model's ability to account for  ...  We derive several predictions from the computational model and suggest experiments that may test its validity.  ...  Previously Published Computational Models Several computational models of systems consolidation have been published.  ... 
arXiv:1703.01357v7 fatcat:ajqeee4vdrbkfbazmvw4h47q2i

Computational models of the hippocampal region: linking incremental learning and episodic memory

Mark A Gluck, Martijn Meeter, Catherine E Myers
2003 Trends in Cognitive Sciences  
The hippocampal region, a group of brain structures important for learning and memory, has been the focus of a large number of computational models.  ...  Rather than being in conflict, it is becoming apparent that both approaches are partially correct and might reflect the different functions of substructures of the hippocampal region.  ...  and Orr [34] Trace conditioning A !  ... 
doi:10.1016/s1364-6613(03)00105-0 pmid:12804694 fatcat:c4jajmo43bdjfg3pprycuvmjty

Episodic memory and cortico–hippocampal interactions

Lokendra Shastri
2002 Trends in Cognitive Sciences  
The formation of a conjunctive code is also assumed to occur in CA3, and many models impute both auto-associative and conjunctive properties to episodic memory traces.  ...  These include system-level models that attempt to describe the functional role of the HS [3, 4, 9, [13] [14] [15] [16] [17] [18] [19] , as well as computational models that attempt to explicate how the  ...  These include system-level models that attempt to describe the functional role of the HS [3, 4, 9, [13] [14] [15] [16] [17] [18] [19] , as well as computational models that attempt to explicate how the  ... 
doi:10.1016/s1364-6613(02)01868-5 pmid:11912039 fatcat:4gdkaxdrr5dlbanenkfigqtpnq

Modulation of septo-hippocampal θ activity by GABAA receptors: an experimental and computational approach

M. Hajós, W.E. Hoffmann, G. Orbán, T. Kiss, P. Érdi
2004 Neuroscience  
In the present experiments we applied a combination of computational and physiological techniques to explore the functional role of GABA A receptors in oscillation.  ...  In parallel to these experimental observations, a computational model has been constructed by implementing a septal GABA neuron model with a CA1 hippocampal model containing three types of neurons (including  ...  In parallel, a computational model of the septo-hippocampal circuit has been constructed in order to model its in vivo activity and its oscillatory changes induced by in vivo pharmacological manipulations  ... 
doi:10.1016/j.neuroscience.2004.03.043 pmid:15183510 fatcat:sstyqswxg5b4dotjtn2ifcyoae
« Previous Showing results 1 — 15 out of 23,084 results