Encoding and decoding in parietal cortex during sensorimotor decision-making

Nature Neuroscience

Volumn 17, Issue 10, 2014, Pages 1395-1403

  Park, Il Memming ^a   Meister, Miriam L R ^a,b   Huk, Alexander C ^a   Pillow, Jonathan W ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; BAYESIAN LEARNING; BRAIN REGION; CHOICE PROBABILITY; DECISION MAKING; LATERAL INTRAPARIETAL AREA; NERVE CELL; NONHUMAN; PARIETAL CORTEX; PRIORITY JOURNAL; PROBABILITY; QUANTITATIVE ANALYSIS; SACCADIC EYE MOVEMENT; SENSORIMOTOR FUNCTION; TASK PERFORMANCE; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; MALE; MOVEMENT PERCEPTION; PARIETAL LOBE; PHOTOSTIMULATION; PHYSIOLOGY; RHESUS MONKEY;

ALGORITHMS; ANIMALS; DECISION MAKING; MACACA MULATTA; MALE; MODELS, NEUROLOGICAL; MOTION PERCEPTION; NEURONS; PARIETAL LOBE; PHOTIC STIMULATION;

EID: 84921785617     PISSN: 10976256     EISSN: 15461726     Source Type: Journal    
DOI: 10.1038/nn.3800     Document Type: Article

References (51)

1. Platt, M.L. & Glimcher, P.W. Neural correlates of decision variables in parietal cortex. Nature 400, 233-238 (1999).
2. Shadlen, M.N. & Newsome, W.T. Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J. Neurophysiol. 86, 1916-1936 (2001).
3. Huk, A.C. & Shadlen, M.N. Neural activity in macaque parietal cortex reflects temporal integration of visual motion signals during perceptual decision making. J. Neurosci. 25, 10420-10436 (2005).
4. Kable, J.W. & Glimcher, P.W. The neural correlates of subjective value during intertemporal choice. Nat. Neurosci. 10, 1625-1633 (2007).
5. Yang, T. & Shadlen, M.N. Probabilistic reasoning by neurons. Nature 447, 1075-1080 (2007).
6. Beck, J.M. et al. Probabilistic population codes for Bayesian decision making. Neuron 60, 1142-1152 (2008).
7. Seo, H., Barraclough, D.J. & Lee, D. Lateral intraparietal cortex and reinforcement learning during a mixed-strategy game. J. Neurosci. 29, 7278 (2009).
8. Cisek, P. & Kalaska, J.F. Neural mechanisms for interacting with a world full of action choices. Annu. Rev. Neurosci. 33, 269-298 (2010).
9. Mazurek, M.E., Roitman, J.D., Ditterich, J. & Shadlen, M.N. A role for neural integrators in perceptual decision making. Cereb. Cortex 13, 1257 (2003).
10. Lo, C.C. & Wang, X.J. Cortico-basal ganglia circuit mechanism for a decision threshold in reaction time tasks. Nat. Neurosci. 9, 956-963 (2006).
11. Wong, K.F., Huk, A.C., Shadlen, M.N. & Wang, X.J. Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision making. Front. Comput. Neurosci. 1, 6 (2007).
12. Fusi, S., Asaad, W.F., Miller, E.K. & Wang, X.-J. A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales. Neuron 54, 319-333 (2007).
13. Wang, X.-J. Decision making in recurrent neuronal circuits. Neuron 60, 215-234 (2008).
14. Ganguli, S. et al. One-dimensional dynamics of attention and decision making in LIP. Neuron 58, 15-25 (2008).
15. Soltani, A. & Wang, X.J. Synaptic computation underlying probabilistic inference. Nat. Neurosci. 13, 112-119 (2010).
16. Pillow, J.W., Paninski, L., Uzzell, V.J., Simoncelli, E.P. & Chichilnisky, E.J. Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model. J. Neurosci. 25, 11003-11013 (2005).
17. Pillow, J.W. et al. Spatio-temporal correlations and visual signaling in a complete neuronal population. Nature 454, 995-999 (2008).
18. Jacobs, A.L. et al. Ruling out and ruling in neural codes. Proc. Natl. Acad. Sci. USA 106, 5936-5941 (2009).
19. Fernandes, H.L., Stevenson, I.H., Phillips, A.N., Segraves, M.A. & Kording, K.P. Saliency and saccade encoding in the frontal eye field during natural scene search. Cereb. Cortex published online, doi:10.1093/cercor/bht179 (17 July 2013).
20. Paninski, L., Fellows, M., Shoham, S., Hatsopoulos, N. & Donoghue, J. Superlinear population encoding of dynamic hand trajectory in primary motor cortex. J. Neurosci. 24, 8551-8561 (2004).
21. Truccolo, W., Eden, U.T., Fellows, M.R., Donoghue, J.P. & Brown, E.N. A point process framework for relating neural spiking activity to spiking history, neural ensemble and extrinsic covariate effects. J. Neurophysiol. 93, 1074-1089 (2005).
22. Yu, B.M. et al. Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity. J. Neurophysiol. 102, 614 (2009).
23. Brown, E.N., Frank, L., Tang, D., Quirk, M. & Wilson, M. A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells. J. Neurosci. 18, 7411-7425 (1998).
24. Barbieri, R., Wilson, M.A., Frank, L.M. & Brown, E.N. An analysis of hippocampal spatio-temporal representations using a Bayesian algorithm for neural spike train decoding. IEEE Trans. Neural Syst. Rehabil. Eng. 13, 131-136 (2005).
25. Rorie, A.E., Gao, J., McClelland, J.L. & Newsome, W.T. Integration of sensory and reward information during perceptual decision-making in lateral intraparietal cortex (LIP) of the macaque monkey. PLoS ONE 5, e9308 (2010).
26. Park, J. & Zhang, J. Sensorimotor locus of the buildup activity in monkey lateral intraparietal area neurons. J. Neurophysiol. 103, 2664-2674 (2010).
27. Jenison, R.L., Rangel, A., Oya, H., Kawasaki, H. & Howard, M.A. Value encoding in single neurons in the human amygdala during decision making. J. Neurosci. 31, 331-338 (2011).
28. Rishel, C.A., Huang, G. & Freedman, D.J. Independent category and spatial encoding in parietal cortex. Neuron 77, 969-979 (2013).
29. Huk, A.C. & Meister, M.L. Neural correlates and neural computations in posterior parietal cortex during perceptual decision-making. Front. Integr. Neurosci. 6, 86 (2012).
30. Gottlieb, J. & Goldberg, M.E. Activity of neurons in the lateral intraparietal area of the monkey during an antisaccade task. Nat. Neurosci. 2, 906-912 (1999).
31. Meister, M.L.R., Hennig, J.A. & Huk, A.C. Signal multiplexing and single-neuron computations in lateral intraparietal area during decision-making. J. Neurosci. 33, 2254-2267 (2013).
32. Newsome, W.T. & Pare, E.B. A selective impairment of motion perception following lesions of the middle temporal visual area (MT). J. Neurosci. 8, 2201-2211 (1988).
33. Roitman, J.D. & Shadlen, M.N. Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. J. Neurosci. 22, 9475 (2002).
34. Sugrue, L.P., Corrado, G.S. & Newsome, W.T. Matching behavior and the representation of value in the parietal cortex. Science 304, 1782-1787 (2004).
35. Foley, N.C., Jangraw, D.C., Peck, C. & Gottlieb, J. Novelty enhances visual salience independently of reward in the parietal lobe. J. Neurosci. 34, 7947-7957 (2014).
36. Premereur, E., Vanduffel, W. & Janssen, P. Functional heterogeneity of macaque lateral intraparietal neurons. J. Neurosci. 31, 12307-12317 (2011).
37. Ma, W.J., Beck, J.M., Latham, P.E. & Pouget, A. Bayesian inference with probabilistic population codes. Nat. Neurosci. 9, 1432-1438 (2006).
38. Jazayeri, M. & Movshon, J.A. Optimal representation of sensory information by neural populations. Nat. Neurosci. 9, 690-696 (2006).
39. Britten, K.H., Newsome, W.T., Shadlen, M.N., Celebrini, S. & Movshon, J.A. A relationship between behavioral choice and the visual responses of neurons in macaque MT. Vis. Neurosci. 13, 87-100 (1996).
40. Steenrod, S.C., Phillips, M.H. & Goldberg, M.E. The lateral intraparietal area codes the location of saccade targets and not the dimension of the saccades that will be made to acquire them. J. Neurophysiol. 109, 2596-2605 (2013).
41. Brunton, B.W., Botvinick, M.M. & Brody, C.D. Rats and humans can optimally accumulate evidence for decision-making. Science 340, 95-98 (2013).
42. Gottlieb, J. & Balan, P. Attention as a decision in information space. Trends Cogn. Sci. 14, 240-248 (2010).
43. Bollimunta, A., Totten, D. & Ditterich, J. Neural dynamics of choice: single-trial analysis of decision-related activity in parietal cortex. J. Neurosci. 32, 12684-12701 (2012).
44. Schall, J.D., Purcell, B.A., Heitz, R.P., Logan, G.D. & Palmeri, T.J. Neural mechanisms of saccade target selection: gated accumulator model of the visual-motor cascade. Eur. J. Neurosci. 33, 1991-2002 (2011).
45. Purcell, B.A., Schall, J.D., Logan, G.D. & Palmeri, T.J. From salience to saccades: multiple-alternative gated stochastic accumulator model of visual search. J. Neurosci. 32, 3433-3446 (2012).
46. Gold, J.I. & Shadlen, M.N. The neural basis of decision making. Annu. Rev. Neurosci. 30, 535-574 (2007).
47. Churchland, A.K. et al. Variance as a signature of neural computations during decision making. Neuron 69, 818-831 (2011).
48. Leathers, M.L. & Olson, C.R. In monkeys making value-based decisions, LIP neurons encode cue salience and not action value. Science 338, 132-135 (2012).
49. Newsome, W.T., Glimcher, P.W., Gottlieb, J., Lee, D. & Platt, M.L. Comment on "In monkeys making value-based decisions, LIP neurons encode cue salience and not action value". Science 340, 430 (2013).
50. Leathers, M.L. & Olson, C.R. Response to comment on "In monkeys making value-based decisions, LIP neurons encode cue salience and not action value". Science 340, 430 (2013).
51. Cunningham, J.P., Yu, B.M., Shenoy, K.V. & Sahani, M. Inferring neural firing rates from spike trains using Gaussian processes. Adv. Neural Inf. Process. Syst. 20, 329-336 (2007).