Abstract
Reward is important for shaping goal-directed behaviour1,2,3,4. After stimulus–reward associative learning, an organism can assess the motivational value of the incoming stimuli on the basis of past experience (retrospective processing), and predict forthcoming rewarding events (prospective processing)1,2,3,4,5. The traditional role of the sensory thalamus is to relay current sensory information to cortex. Here we find that non-primary thalamic neurons respond to reward-related events in two ways. The early, phasic responses occurred shortly after the onset of the stimuli and depended on the sensory modality. Their magnitudes resisted extinction and correlated with the learning experience. The late responses gradually increased during the cue and delay periods, and peaked just before delivery of the reward. These responses were independent of sensory modality and were modulated by the value and timing of the reward. These observations provide new evidence that single thalamic neurons can code for the acquired significance of sensory stimuli in the early responses (retrospective coding) and predict upcoming reward value in the late responses (prospective coding).
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References
Dickinson, A. & Balleine, B. Motivational control of goal-directed action. Anim. Learn. Behav. 22, 1–18 (1994).
Schultz, W. Multiple reward signals in the brain. Nature Rev. Neurosci. 1, 199–207 (2000).
Schultz, W., Tremblay, L. & Hollerman, J. R. Reward processing in primate orbitofrontal cortex and basal ganglia. Cereb. Cortex 10, 272–283 (2000).
Rolls, E. T. The Brain and Emotion. (Oxford Univ. Press, New York, 1999).
Rainer, G., Rao, S. C. & Miller, E. K. Prospective coding for objects in primate prefrontal cortex. J. Neurosci. 19, 5493–5505 (1999).
Fibiger, H. C. & Phillips, A. G. in Handbook of Physiology—The Nervous System Vol. IV (ed. Bloom, F. E.) 647–675 (Williams and Wilkins, Baltimore, 1986).
Wise, R. A. & Rompre, P. P. Brain dopamine and reward. Annu. Rev. Psychol. 40, 191–225 (1989).
Mirenowicz, J. & Schultz, W. Preferential activation of midbrain dopamine neurons by appetitive rather than aversive stimuli. Nature 379, 449–451 (1996).
Nakamura, K., Ono, T. & Tamura, R. Central sites involved in the lateral hypothalamus conditioned neural responses to acoustic cues in the rat. J. Neurophysiol. 58, 1123–1148 (1987).
Robbins, T. W. & Everitt, B. J. Neurobehavioral mechanism of reward and motivation. Curr. Opin. Neurobiol. 6, 228–236 (1996).
Ono, T., Nishijo, H. & Uwano, T. Amygdala role in conditioned associative learning. Prog. Neurobiol. 46, 401–422 (1995).
Schoenbaum, G., Chiba, A. A. & Gallagher, M. Orbitofrontal cortex and basolateral amygdala encode expected outcomes during learning. Nature Neurosci. 1, 155–159 (1998).
Bechara, A., Damasio, H., Tranel, D. & Anderson, S. W. Dissociation of working memory from decision making within the human prefrontal cortex. J. Neurosci. 18, 428–437 (1998).
Watanabe, M. Reward expectancy in primate prefrontal neurons. Nature 382, 629–632 (1996).
Kawagoe, R., Takikawa, Y. & Hikosaka, O. Expectation of reward modulates cognitive signals in the basal ganglia. Nature Neurosci. 1, 411–416 (1998).
LeDoux, J. E., Farb, C. R., & Romanski, L. M. Overlapping projections to the amygdala and striatum from auditory processing areas of the thalamus and cortex. Neurosci. Lett. 134, 139–144 (1991).
Linke, R., De Lima, A. D., Schwegler, H. & Pare, H.-C. Direct synaptic connections of axons from superior colliculus with identified thalamo-amygdaloid projection neurons in the rat: possible substrates of a subcortical visual pathway to the amygdala. J. Comp. Neurol. 403, 158–170 (1999).
Weinberger, N. M. Learning-induced changes of auditory receptive fields. Curr. Opin. Neurobiol. 3, 570–577 (1993).
LeDoux, J. E. Emotion circuits in the brain. Ann. Rev. Neurosci. 23, 155–184 (2000).
Dolan, R. J. in The New Cognitive Neurosciences 2nd edn (ed. Gazzaniga, M. S.) 1115–1131 (MIT Press, Cambridge, Massachusetts, 2000).
Gallistel, C. R., Leon, M., Waraczynski, M. & Hanau, M. S. Effect of current on the maximum possible reward. Behav. Neurosci. 105, 901–912 (1991).
Bouton, M. E. Context, ambiguity, and classical conditioning. Curr. Direct. Psychol. Sci. 3, 49–53 (1994).
Bordi, F. & LeDoux, J. E. Response properties of single units in areas of rat auditory thalamus that project to the amygdala. I. Acoustic discharge patterns and frequency receptive fields. Exp. Brain Res. 98, 261–274 (1994).
Edeline, J. M., Manunta, Y., Nodal, F. R. & Bajo, V. M. Do auditory responses recorded from awake animals reflect the anatomical parcellation of the auditory thalamus? Hear. Res. 131, 135–152 (1999).
Winer, J. A. & Morest, D. K. The medial division of the medial geniculate body of the cat: implications for thalamic organization. J. Neurosci. 3, 2629–2651 (1983).
Sefton, A. J. & Dreher, B. in The Rat Nervous System 2nd edn (ed. Paxinos, G.) 833–898 (Academic, San Diego, 1995).
LaBerge, D. Thalamic and cortical mechanisms of attention suggested by recent positron emission tomographic experiments. J. Cogn. Neurosci. 2, 358–372 (1990).
Liu, Z., Murray, E. A. & Richmond, B. J. Learning motivational significance of visual cues for reward schedules requires rhinal cortex. Nature Neurosci. 3, 1307–1315 (2000).
Paxinos, G. & Watson, C. The Rat Brain in Stereotaxic Coordinates 4th edn (Academic, San Diego, 1998).
Richmond, B. J. & Optican, L. M. Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. II. Quantification of response waveform. J. Neurophysiol. 57, 147–161 (1987).
Acknowledgements
We thank R. Norgren (invited by Gofo Life Sciences International Fund) for helpful comments on this manuscript, and T. Kitamura for technical assistance. This work was partly supported by Grants-in-Aid for Scientific Research from the Japanese Ministry of Education, Science and Culture.
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Komura, Y., Tamura, R., Uwano, T. et al. Retrospective and prospective coding for predicted reward in the sensory thalamus. Nature 412, 546–549 (2001). https://doi.org/10.1038/35087595
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DOI: https://doi.org/10.1038/35087595
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