Literature DB >> 9711817

The dynamics of long-term exploration in the rat. Part II. An analytical model of the kinematic structure of rat exploratory behavior.

O Tchernichovski1, Y Benjamini.   

Abstract

A simple analytical model is proposed here that captures to a large extent the kinematic structure of rat exploratory behavior. Previous studies have shown that such behavior consists of regular excursions into the environment from a preferred place termed a home base. In the first part of this study, we showed that with time and repeated exposure to the same large environment, there is a gradual increase in the length of excursions. Concurrently, the rat's velocity pattern changes in a complex yet structured way, which is correlated with the exposure (= familiarity) to places. In this part, we show that the complex pattern described there might be explained by an analytic model, in terms of a simple dynamical system, with few assumptions concerning motivation and learning. The model is studied both by analysis and simulation. The theoretical examination of the dynamics of excursion length suggests that excursion length increases as a linear function of two system parameters, one governing the rate of motivation loss, and the other the rate of (location-specific) familiarization. Combining this theoretical finding with the empirical results suggests that the two theoretical parameters are linearly related: the less confident the rat, the slower its familiarization rate, and thus differences in patterns of movement between rats can be explained using one rat-specific parameter. Furthermore, the more complex velocity pattern of the rat can then be easily captured by the same model. The analyzed behavior of the rat suggests that the locale sensory information that the rat collects has a gradient towards the home base, with decreasing information input away from home base. This sensory pattern emerges from the simple set of rules and restrictions on the rat's exploratory behavior. Thus, instead of imposing a set of ad hoc restrictions on a simulated rat so that its spatial learning is similar to that of a real rat, the model suggests a set of simple intrinsic constraints to govern the exploratory behavior.

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Year:  1998        PMID: 9711817     DOI: 10.1007/s004220050447

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  7 in total

1.  Fimbria-fornix lesions disrupt the dead reckoning (homing) component of exploratory behavior in mice.

Authors:  Joanna H Gorny; Bogdan Gorny; Douglas G Wallace; Ian Q Whishaw
Journal:  Learn Mem       Date:  2002 Nov-Dec       Impact factor: 2.460

2.  Hebbian analysis of the transformation of medial entorhinal grid-cell inputs to hippocampal place fields.

Authors:  Francesco Savelli; James J Knierim
Journal:  J Neurophysiol       Date:  2010-03-31       Impact factor: 2.714

3.  Quantification of behavior.

Authors:  Alan Leshner; Donald W Pfaff
Journal:  Proc Natl Acad Sci U S A       Date:  2011-09-13       Impact factor: 11.205

4.  Learning and control of exploration primitives.

Authors:  Goren Gordon; Ehud Fonio; Ehud Ahissar
Journal:  J Comput Neurosci       Date:  2014-05-07       Impact factor: 1.621

5.  Movement behaviour of Medaka (Oryzias latipes) in response to sublethal treatments of diazinon and cholinesterase activity in semi-natural conditions.

Authors:  Tae-Soo Chon; Namil Chung; Inn-Sil Kwak; Jong-Sang Kim; Sung-Cheol Koh; Sung-Kyu Lee; Joo-Baek Leem; Eui Young Cha
Journal:  Environ Monit Assess       Date:  2005-02       Impact factor: 2.513

6.  Habituation Training Improves Locomotor Performance in a Forced Running Wheel System in Rats.

Authors:  Angel Toval; Raúl Baños; Ernesto De la Cruz; Nicanor Morales-Delgado; Jesús G Pallarés; Abdelmalik Ayad; Kuei Y Tseng; Jose L Ferran
Journal:  Front Behav Neurosci       Date:  2017-03-08       Impact factor: 3.558

7.  Mouse cognition-related behavior in the open-field: emergence of places of attraction.

Authors:  Anna Dvorkin; Yoav Benjamini; Ilan Golani
Journal:  PLoS Comput Biol       Date:  2008-02-29       Impact factor: 4.475

  7 in total

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