A bibliography of computational models of rat spatial behavior

Prince, Christopher G.

English

Cognitive Sciences ePrint Archive

http://www.cprince.com/research/RatCog 
Compiled by Christopher G. Prince (chris@cprince.com) 
 
Table 1 
Computational Models of 
Rat Spatial Behavior 
 
 
Number 
 
Authors 
 
1 Arleo & Gerstner (2000a) 
Arleo & Gerstner (2000b) 
 
2 
Balakrishnan, Bhatt, & Honavar (1998) 
Balakrishnan, Bousquet, & Honavar (1999) 
3 Benhamou, Sauvé, & Poucet (1990) 
4 Benhamou (1994) 
5 Benhamou, Bovet, & Poucet (1995) 
6 Berkeley, Prince, & Gunay (1999) 
7 Blum & Abbott (1996) 
8 Brown & Sharp (1995) 
9 Burgess, O’Keefe, & Recce (1993) 
Burgess, Recce, & O’Keefe (1994) 
10 Denham & Denham (1999) 
11 Guazzelli, Bota, Corbacho, & Arbib (1998) 
12 Neath & Capaldi (1996) 
13 Neven & Schoner (1994) 
14 Prescott (1996) 
15 Schmajuk (1990) 
Schmajuk, Thieme, & Blair (1993) 
Schmajuk (1997) 
Schmajuk & Buhusi (1997) 
16 Shapiro & Hetherington (1993) 
Hetherington & Shapiro (1993) 
17 Sharp (1991) 
18 Smart & Hallam (1994) 
19 Touretzky, Wan, & Redish (1994) 
Touretzky & Redish (1996) 
Redish (1997) 
Redish (1999) 
20 Trullier & Meyer (1998) 
21 Tsodyks, Skaggs, Sejnowski, & McNaughton (1996) 
22 Werbos & Pang (1996) 
23 Worden (1992) 
24 Zipser (1985) 
25 Zipser (1986) 
 
http://www.cprince.com/research/RatCog 
Compiled by Christopher G. Prince (chris@cprince.com) 
REFERENCES 
 
Arleo, A. & Gerstner, W. (2000a). Spatial cognition and neuro-mimetic navigation: A 
model of hippocampal place cell activity. Biological Cybernetics, 83, 287-299. 
 
Arleo, A. & Gerstner, W. (2000b). Modeling rodent head-direction cells and place cells 
for spatial learning in bio-mimetic robots. In Proceedings of the Sixth International 
Conference on the Simulation of Adaptive Behavior: From Animals to Animats 6, Paris, 
France. Cambridge, MA: MIT Press. 
 
Balakrishnan, K., Bhatt, R., & Honavar, V. (1998). A computational model of rodent 
spatial learning and some behavioral experiments. In M. A. Gernsbacher & Sharon J. 
Derry (Eds.). Proceedings of the Twentieth Annual Meeting of the Cognitive Science 
Society. Mahwah, NJ: Lawrence Erlbaum Assoc. 
 
Balakrishnan, K., Bousquet, O., & Honavar, V. (1999). Spatial learning and localization 
in rodents: A computational model of the hippocampus and its implications for mobile 
robots. Adaptive Behavior, 7, 173-216. 
 
Benhamou, S. (1994). Spatial memory and searching efficiency. Animal Behaviour, 47, 
1423-1433. 
 
Benhamou, S., Bovet, P., & Poucet, B. (1995). A model for place navigation in 
mammals. Journal of Theoretical Biology, 173, 163-178. 
 
Benhamou, S., Sauvé, J. P., & Bovet, P. (1990). Spatial memory in large scale 
movements: Efficiency and limitation of the egocentric coding process. Journal of 
Theoretical Biology, 145, 1-12. 
 
Berkeley, I. S. N., Prince, C., & Gunay, C. (1999). RATNET: Exploring rat navigation 
with artificial neural networks. Paper presented at the 1999 Southern Society for 
Philosophy and Psychology Meeting in Louisville, Kentucky. 
 
Blum, K. I. & Abbott, L. F. (1996). A model of spatial map formation in the 
hippocampus of the rat. Neural Computation, 8, 85-93. 
 
Brown, M. A. & Sharp, P. E. (1995). Simulation of spatial learning in the morris water 
maze by a neural network model of the hippocampal formation and nucleus accumbens. 
Hippocampus, 5, 171-188. 
 
Burgess, N., O’Keefe, J., & Recce, M. (1993). In S. J. Hanson, C. L. Giles, & J. D. 
Cowan (Eds.), Advances in Neural Information Processing Systems 5 (pp. 929-936). San 
Mateo, CA: Morgan Kaufmann. 
 
Burgess, N., Recce, M., & O’Keefe, J. (1994). A model of hippocampal function. Neural 
Networks, 7, 1065-1081. 
http://www.cprince.com/research/RatCog 
Compiled by Christopher G. Prince (chris@cprince.com) 
 
Denham, M. J. & Denham, S. L. (1999). Predictive information processing in the septal-
hippocampal region and its involvement in learning and memory. American Association 
for Artificial Intelligence Workshop on Computation with Neural Systems, 12-18. AAAI 
Press Technical Report WS-99-04.  
 
Guazzelli, A. Bota, M., Corbacho, F. J., & Arbib, M. A. (1998). Affordances, 
motivations, and the world graph theory. Adaptive Behavior, 6, 435-471. 
 
Hetherington, P. A. & Shapiro, M. L. (1993). A simple network model simulates 
hippocampal place fields: II. Computing goal-directed trajectories and memory fields. 
Behavioral Neuroscience, 107, 434-443. 
 
Neath, I. & Capaldi, E. J. (1996). A “random-walk” simulation model of multiple-pattern 
learning in a radial-arm maze. Animal Learning and Behavior, 24, 206-210. 
 
Neven, H. & Schoner, G. (1994). Approximative vision and lowdimensional neural 
dynamics for ratlike robot navigation. Poster presented at Artificial Life IV: The Fourth 
International Workshop on the Synthesis and Simulation of Living Systems, July 7, 1994. 
 
Prescott, T. J. (1996). Spatial representation for navigation in animats. Adaptive 
Behavior, 4, 85-123. 
 
Redish, A. D. (1997). Beyond the Cognitive Map: Contributions to a Computational 
Theory of Rodent Navigation. Unpublished doctoral dissertation, Carnegie Mellon 
University. 
 
Redish, A. D. (1999). Beyond the Cognitive Map: From Place Cells to Episodic Memory. 
Cambridge, MA: MIT Press. 
 
Schmajuk, N. A. (1990). Role of the hippocampus in temporal and spatial navigation: An 
adaptive neural network. Behavioural Brain Research, 39, 205-229. 
 
Schmajuk, N. A. (1997). Animal Learning and Cognition: A Neural Network Approach. 
New York, NY: Cambridge University Press. 
 
Schmajuk, N. A. & Buhusi, C. V. (1997). Spatial and temporal cognitive mapping: A 
neural network approach. Trends in Cognitive Sciences, 1, 109-114. 
 
Schmajuk, N. A., Thieme, A. D., & Blair, H. T. (1993). Maps, routes, and the 
hippocampus: A neural network approach. Hippocampus, 3, 387-400. 
 
Shapiro, M. L. & Hetherington, P. H. (1993). A simple network model simulates 
hippocampal place fields: Parametric analyses and physiological predictions. Behavioral 
Neuroscience, 107, 34-50. 
 
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Compiled by Christopher G. Prince (chris@cprince.com) 
Sharp, P. E. (1991). Computer simulation of hippocampal place cells. Psychobiology, 19, 
103-115. 
 
Smart, W. D. & Hallam, J. (1994). Location recognition in rats and robots. In D. Cliff, P. 
Husbands, J.-A. Meyer, & S. W. Wilson (Eds.). Proceedings of the Third International 
Conference on Simulation of Adaptive Behavior: From Animals to Animats 3 (pp. 174-
178). Cambridge, MA: MIT Press. 
 
Touretzky, D. S. & Redish, A. D. (1996). Theory of rodent navigation based on 
interacting representations of space. Hippocampus, 6, 247-270. 
 
Touretzky, D. S., Wan, H. S., & Redish, A. D. (1994). Neural representation of space in 
rats and robots. In J. M. Zurada & R. J. Marks (Eds.), Computational Intelligence: 
Imitating Life. Proceedings of the symposium held at the 1994 IEEE World Congress on 
Computational Intelligence. IEEE Press. 
 
Trullier, O. & Meyer, J.-A. (1998). Animat navigation using a cognitive graph. In R. 
Pfeifer, B. Blumberg, J.-A. Meyer, & S. W. Wilson (Eds.), From Animals to Animats 5 
(pp. 213-222). Cambridge, MA: MIT Press. 
 
Tsodyks, M. V., Skaggs, W. E., Sejnowski, T. J., & McNaughton, B. L. (1996). 
Population dynamics and theta rhythm phase precession of hippocampal place cell firing: 
A spiking neuron model. Hippocampus, 6, 271-280. 
 
Werbos, P. J. & Pang, X. (1996). Generalized maze navigation: SRN critics solve what 
feedforward or hebbian nets cannot. Proceedings of the World Congress on Neural 
Networks (pp. 88-93). Conference held in San Diego, California, September 15-18. 
Mahway, NJ: Lawrence Erlbaum, Inc. 
 
Worden, R. (1992). Navigation by fragment fitting: A theory of hippocampal function. 
Hippocampus, 2, 165-188. 
 
Zipser, D. (1985). A computational model of hippocampal place fields. Behavioral 
Neuroscience, 99, 1006-1018. 
 
Zipser, D. (1986). Biologically plausible models of place recognition and goal location. 
In D. E. Rumelhart & J. L. McClelland (Eds.), Parallel Distributed Processing: 
Explorations in the Microstructure of Cognition. Volume 2: Psychological and Biological 
Models (pp. 432-470). Cambridge, MA: MIT Press. 
 
 
 


A “random-walk” simulation model of multiple-pattern learning in a radial-arm maze.

A computational model of hippocampal place fields.

A computational model of rodent spatial learning and some behavioral experiments. In

A model for place navigation in mammals.

A model of spatial map formation in the hippocampus of the rat.

A simple network model simulates hippocampal place fields: Parametric analyses and physiological predictions.

Animal Learning and Cognition: A Neural Network Approach.

Animat navigation using a cognitive graph. In

Approximative vision and lowdimensional neural dynamics for ratlike robot navigation. Poster presented at Artificial Life IV:

Beyond the Cognitive Map: Contributions to a Computational Theory of Rodent Navigation. Unpublished doctoral dissertation,

Beyond the Cognitive Map: From Place Cells to Episodic Memory.

Biologically plausible models of place recognition and goal location. In

Generalized maze navigation: SRN critics solve what feedforward or hebbian nets cannot.

Location recognition in rats and robots. In

Maps, routes, and the hippocampus: A neural network approach.

Modeling rodent head-direction cells and place cells for spatial learning in bio-mimetic robots.

Navigation by fragment fitting: A theory of hippocampal function.

Neural representation of space in rats and robots. In

Population dynamics and theta rhythm phase precession of hippocampal place cell firing: A spiking neuron model.

RATNET: Exploring rat navigation with artificial neural networks. Paper presented at the 1999 Southern Society for Philosophy and Psychology Meeting in

Role of the hippocampus in temporal and spatial navigation: An adaptive neural network.

Simulation of spatial learning in the morris water maze by a neural network model of the hippocampal formation and nucleus accumbens.

Spatial and temporal cognitive mapping: A neural network approach.

Spatial cognition and neuro-mimetic navigation: A model of hippocampal place cell activity.

Spatial learning and localization in rodents: A computational model of the hippocampus and its implications for mobile robots.

Spatial memory and searching efficiency.

Spatial memory in large scale movements: Efficiency and limitation of the egocentric coding process.

Spatial representation for navigation in animats.

Theory of rodent navigation based on interacting representations of space.

Bibliography of computational models of rat spatial behavior

Bibliography of computational models of rat spatial behavior

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