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Hippocampus, Amygdala and Basal Ganglia Based Navigation Control

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Artificial Neural Networks – ICANN 2009 (ICANN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5768))

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Abstract

In this paper we present a novel robot navigation system aimed at testing hypotheses about the roles of key brain areas in foraging behavior of rats. The key components of the control network are: 1. a Hippocampus inspired module for spatial localization based on associations between sensory inputs and places; 2. an Amygdala inspired module for the association of values with places and sensory stimuli; 3. a Basal Ganglia inspired module for the selection of actions based on the evaluated sensory inputs. By implementing this Hippocampus-Amygdala-Basal Ganglia based control network with a simulated rat embodiment we intend to test not only our understanding of the individual brain areas but especially the interaction between them. Understanding the neural circuits that allows rats to efficiently forage for food will also help to improve the ability of robots to autonomously evaluate and select navigation targets.

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References

  1. Alexander, G.E., Crutcher, M.D.: Functional architecture of basal ganglia circuits: neural substrates of parallel processing. Trends in Neurosciences 13(7), 266–271 (1990)

    Article  Google Scholar 

  2. O’Keefe, J., Dostrovsky, J.: The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely moving rat. Brain Research 34, 171–175 (1971)

    Google Scholar 

  3. O’Keefe, J., Conway, D.H.: Hippocampal place units in the freely moving rat: Why they fire when they fire. Experimental Brain Research 31, 573–590 (1978)

    Google Scholar 

  4. Morris, R.G., Garrud, P., Rawlins, J.N., O’Keefe, J.: Place navigation impaired in rats with hippocampal lesions. Nature 24, 681–683 (1982)

    Article  Google Scholar 

  5. Jeffery, K.J., O’Keefe, J.M.: Learned interaction of visual and idiothetic cues in the control of place field orientation. Experimental Brain Research 127, 151–161 (1999)

    Article  Google Scholar 

  6. Phillips, R.G., LeDoux, J.E.: Differential contribution of amygdala and hippocampus to cued and contextual fear conditioning. Behavioral Neuroscience 106, 274–285 (1992)

    Article  Google Scholar 

  7. Kesner, R.P., Walser, R.D., Winzenried, G.: Central but not basolateral amygdala mediates memory for positive affective experiences. Behavioural Brain Research 33, 189–195 (1989)

    Article  Google Scholar 

  8. Everitt, B.J., Morris, K.A., O’Brien, A., Robbins, T.W.: The basolateral amygdala-ventral striatal system and conditioned place preference: Further evidence of limbic-striatal interactions underlying reward-related processes. Neuroscience 42, 1–18 (1991)

    Article  Google Scholar 

  9. Mink, J.W.: The basal ganglia: Focused selection and inhibition of competing motor programs. Progress in Neurobiology 50(4), 381–425 (1996)

    Article  Google Scholar 

  10. Wickens, J.: Basal ganglia: structure and computations. Network-Computation in Neural Systems 8(4), R77–R109 (1997)

    Article  MATH  Google Scholar 

  11. Prescott, T.J., Redgrave, P., Gurney, K.N.: Layered control architectures in robots and vertebrates. Adaptive Behavior 7(1), 99–127 (1999)

    Article  Google Scholar 

  12. Redgrave, P., Prescott, T., Gurney, K.N.: The basal ganglia: a vertebrate solution to the selection problem? Neuroscience 89, 1009–1023 (1999)

    Article  Google Scholar 

  13. Burn, C.C.: What is it like to be a rat? Rat sensory perception and its implications for experimental design and rat welfare. Appliead Animal Behaviour Science 112, 1–32 (2008)

    Article  Google Scholar 

  14. Bird, C.M., Burgess, N.: The hippocampus and memory: insights from spatial processing. Nature Reviews Neuroscience 9, 182–194 (2008)

    Article  Google Scholar 

  15. Rolls, E.R., Stringer, S.M.: Spatial view cells in the hippocampus, and their idiothetic update based on place and head direction. Neural Networks 18(9), 1229–1241 (2005)

    Article  MATH  Google Scholar 

  16. Humphries, M.D., Gurney, K.N.: The role of intra-thalamic and thalamocortical curcuits in action selection. Network: Computation in Neural Systems 13, 121–156 (2002)

    Article  MATH  Google Scholar 

  17. Girard, B., Cuzin, V., Guillot, A., Gurney, K.N., Prescott, T.J.: A basal ganglia inspired model of action selection evaluated in a robotic survival task. Journal of Integrative Neuroscience 2(2), 179–200 (2003)

    Article  Google Scholar 

  18. Prescott, T.J., Montes Gonzalez, F.M., Gurney, K., Humphries, M.D., Redgrave, P.: A robot model of the basal ganglia: Behavior and intrinsic processing. Neural Networks 19, 31–61 (2006)

    Article  MATH  Google Scholar 

  19. Albertin, S.V., Mulder, A.B., Tabuchi, E., Zugaro, M.B., Wiener, S.I.: Lesions of the medial shell of the nucleus accumbens impair rats in finding larger rewards, but spare reward-seeking behavior. Behav. Brain Res. 117, 173–183 (2000)

    Article  Google Scholar 

  20. Tabuchi, E., Mulder, A.B., Wiener, S.I.: Position and behavioral modulation of synchronization of hippocampal and accumbens neuronal discharges in freely moving rats. Hippocampus 10, 717–728 (2000)

    Article  Google Scholar 

  21. Khamassi, M., Mulder, A.B., Tabuchi, E., Douchamps, V., Wiener, S.: Anticipatory reward signals in ventral striatal neurons of behaving rats. European Journal of Neuroscience 28, 1849–1866 (2008)

    Article  Google Scholar 

  22. BRAHMS Modular Execution (Simulation) Framework, http://brahms.sourceforge.net/

  23. Lorenz, K.: Der kumpan in der umwelt des vogels. Journal of Ornithology 83, 137–213 (1935)

    Article  Google Scholar 

  24. Colgan, P.: Animal Motivation. Chapman and Hall, London (1989)

    Book  Google Scholar 

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Authors and Affiliations

  1. Adaptive Behaviour Research Group, Sheffield University,Western Bank, S10 2TP, Sheffield, UK

    Ansgar Koene & Tony J. Prescott

Authors
  1. Ansgar Koene
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  2. Tony J. Prescott
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Editors and Affiliations

  1. Dipartimento di Elettronica, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milano, Italy

    Cesare Alippi

  2. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Street, 1678, Nicosia, Cyprus

    Marios Polycarpou , Christos Panayiotou  & Georgios Ellinas ,  & 

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Koene, A., Prescott, T.J. (2009). Hippocampus, Amygdala and Basal Ganglia Based Navigation Control. In: Alippi, C., Polycarpou, M., Panayiotou, C., Ellinas, G. (eds) Artificial Neural Networks – ICANN 2009. ICANN 2009. Lecture Notes in Computer Science, vol 5768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04274-4_28

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  • DOI: https://doi.org/10.1007/978-3-642-04274-4_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04273-7

  • Online ISBN: 978-3-642-04274-4

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