Abstract
An important goal of research on the cognitive neuroscience of decision-making is to produce a comprehensive model of behavior that flows from perception to action with all of the intermediate steps defined. To understand the mechanisms of perceptual decision-making for an auditory discrimination experiment, we connected a large-scale, neurobiologically realistic auditory pattern recognition model to a three-layer decision-making model and simulated an auditory delayed match-to-sample (DMS) task. In each trial of our simulated DMS task, pairs of stimuli were compared each stimulus being a sequence of three frequency-modulated tonal-contour segments, and a “match” or “nonmatch” button was pressed. The model’s simulated response times and the different patterns of neural responses (transient, sustained, increasing) are consistent with experimental data and the simulated neurophysiological activity provides insights into the neural interactions from perception to action in the auditory DMS task.
Similar content being viewed by others
References
Barraclough DJ, Conroy M, Lee D (2004) Prefrontal cortex and decision making in a mixed-strategy game. Nat Neurosci 7(4): 404–410
Bieser A (1998) Processing of twitter-call fundamental frequencies in insula and auditory cortex of squirrel monkeys. Exp Brain Res 122(2): 139–148
Bodner M, Kroger J, Fuster JM (1996) Auditory memory cells in dorsolateral prefrontal cortex. Neuroreport 7: 1905–1908
Bradski G, Carpenter GA, Grossberg S (1994) STORE working memory networks for storage and recall of arbitrary temporal sequences. Biol Cybern 71(6): 469–480
Brody CD, Zainos A, Romo R (2003) Timing and neural encoding of somatosensory parametric working memory in macaque prefrontal cortex. Cereb Cortex 13: 1196–1207
Bullock D, Grossberg S (1988) Neural dynamics of planned arm movements: emergent invariants and speed-accuracy properties during trajectory formation. Psychol Rev 95: 49–90
Bullock D, Grossberg S, Guenther FH (1993) A self-organizing neural model of motor equivalent reaching and tool use by a multipoint arm. J Cogn Neurosci 5: 408–435
Busemeyer JR, Johnson JG (2004) Computational models of decision making. In: Koehler D, Harvey N (eds) Handbook of judgment and decision making. Blackwell, Oxford, Chap. 7, pp 133–154
Busemeyer J, Townsend JT (1993) Decision field theory: a dynamic-cognitive approach to decision making. Psychol Rev 100(3): 432–459
Contreras-Vidal JL, Wen S (2003) Predicting functional activation (Synthetic PET) and kinematics during visuomotor adaptation to distorted kinematic environments using a neural network model. In: Teulings HL, Van Germmert AWA (eds) Proceedings of the 11th conference of the international graphonomics society (IGS2003), pp 72–76
Deco G, Rolls ET, Horwitz B (2004) “What” and “Where” in visual working memory: a computational neurodynamical perspective for integrating fMRI and single-neuron data. J Cogn Neurosci 16: 683–701
Edwards W (ed) (1992) Utility measurements and applications. Kluwer, Boston
Ermentrout GB (1992) Complex dynamics in winner-take-all neural nets with slow inhibition. Neural Netw 5: 415–431
Ellias SA, Grossberg S (1975) Pattern formation, contrast control, and oscillations in the short-term memory of shunting on-center off-surround networks. Biol Cybern 20: 69–98
Feldman JA, Ballard DH (1982) Connectionist models and their properties. Cogn Sci 6: 205–254
Gordon M, O’Neill WE (1998) Temporal processing across frequency channels by FM selective auditory neurons can account for FM rate selectivity. Hear Res 122(1–2): 97–108
Grossberg S (1970) Neural pattern discrimination. J Theor Biol 27: 291–337
Grossberg S (1973) Contour enhancement, short-term memory, and constancies in reverberating neural networks. Stud Appl Math 52: 213–257
Grossberg S (1980) How does the brain build a cognitive code? (Appendices A-D). Psychol Rev 87: 1–51
Hernandez A, Zainos A, Romo R (2002) Temporal evolution of a decision-making process in medial premotor cortex. Neuron 33: 959–972
Horwitz B, Warner B, Fitzer J, Tagamets M-A, Husain FT, Long TW (2005) Investigating the neural basis for functional and effective connectivity. I. Application to fMRI and PET. Philos Trans R Soc Lond B Biol Sci 360(1457): 1093–1108
Husain FT, Tagamets MA, FAR Braun, Horwitz B (2004) Relating neuronal dynamics for auditory object processing to neuroimaging activity: a computational modeling and an fMRI study. Neuroimage 21(4): 1701–1720
Husain FT, Lozito TP, Ulloa A, Horwitz B (2005) Investigating the neural basis of the auditory continuity illusion. J Cogn Neurosci 17: 1275–1292
Kikuchi-Yorioka Y, Sawaguchi T (2000) Parallel visuospatial and audiospatial working memory processes in the monkey dorsolateral prefrontal cortex. Nat Neurosci 3: 1075–1076
Kincaid TG, Cohen MA, Fang Y (1996) Dynamics of a winner-take-all neural network. Neural Netw 9: 1141–1154
Kim JN, Shadlen MN (1999) Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque. Nat Neurosci 2: 176–85
Mazurek EM, Roitman DJ, Ditterich J, Shadlen NM (2003) A role for neural integrators in perceptual decision making. Cereb Cortex 13(11): 1257–1269
Minsky M, Papert S (1969) Perceptrons. MIT Press, Cambridge
Platt ML, Glimcher PW (1999) Neural correlates of decision variables in parietal cortex. Nature 400: 233–238
Ratcliff R, Rouder NJ (1998) Modeling response times for two-choice decisions. Psychol Sci 9(5): 347–356
Ratcliff R, Tuerlinckx F (2002) Estimating parameters of the diffusion model: approaches to dealing with contaminant reaction times and parameter variability. Psychonom Bull 9(3): 438–481
Roitman JD, Shadlen MN (2002) Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. J Neurosci 22: 9475–9489
Romanski LM, Goldman-Rakic PS (2002) An auditory domain in primate prefrontal cortex. Nat Neurosci 5: 15–16
Romanski LM, Tian B, Fritz J, Mishkin M, Goldman-Rakic PS, Rauschecker JP (1999) Dual streams of auditory afferents target multiple domains in the primate prefrontal cortex. Nat Neurosci 2: 1131–1136
Romo R, Salinas E (2001) Touch and go: decision-making mechanisms in somatosensation. Ann Rev Neurosci 24: 107–137
Romo R, Hernandez A, Zainos A, Lemus L, Brody DC (2002) Neuronal correlates of decision-making in secondary somatosensory cortex. Nat Neurosci 5: 1217–1225
Romo R, Hernandez A, Zainos A (2004) Neuronal correlates of a perceptual decision in ventral premotor cortex. Neuron 41: 165–173
Shadlen MN, Newsome WT (1996) Motion perception: seeing and deciding. Proc Natl Acad Sci USA 93: 628–633
Shadlen MN, Newsome WT (2001) Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J Neurophysiol 86: 1916–1936
Shamma SA, Fleshman JW, Wiser PR, Versnel H (1993) Organization of response areas in ferret primary auditory cortex. J Neurophysiol 69(2): 367–383
Sheffrin S (1983) Rational expectations. Cambridge University Press, Cambridge
Smith LP, Ratcliff R (2004) Psychology and neurobiology of simple decisions. Trends Neurosci 27(3): 161–168
Tagamets MA, Horwitz B (1998) Integrating electrophysiological and anatomical experimental data to create a large-scale model that simulates a delayed match-to-sample human brain imaging study. Cereb Cortex 8(4): 310–320
Ulloa A, Husain FT, Lozito T, Horwitz B (2003) Working memory of long-duration tonal patterns: a computational model. Abstract at the 10th annual meeting of the cognitive neuroscience society
Ulloa A, Husain FT, Kemeny S, Xu J, Braun A, Horwitz B (2008) Neural mechanisms of auditory discrimination of long-duration tonal patterns: a neural model and an fMRI study (submitted)
Wang XJ (2002) Probabilistic decision making by slow reverberation in cortical circuits. Neuron 36: 955–968
Wilson HR, Cowan JD (1972) Excitatory and inhibitory interactions in localized populations of model neurons. Biophys J 12: 1–24
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wen, S., Ulloa, A., Husain, F. et al. Simulated neural dynamics of decision-making in an auditory delayed match-to-sample task. Biol Cybern 99, 15–27 (2008). https://doi.org/10.1007/s00422-008-0234-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00422-008-0234-0