Stochastic accumulator models account for response time in perceptual decision making tasks by assuming that perceptual evidence accumulates to a threshold. This project has mapped the firing rate of frontal eye field (FEF) visual neurons onto perceptual evidence and FEF movement neurons onto evidence accumulation to test competing models of the manner in which evidence was combined in the accumulation process. The models are evaluated on their ability to predict both response time distributions and movement neuron activity observed in monkeys performing an object search task. Our novel approach illustrates the use of neurophysiological data as a model selection tool and establish a novel framework to bridge computational and neural levels of explanation.
Middlebrooks, P.G., Zandbelt, B.B., Logan, G.D., Palmeri, T.J., Schall, J.D. (in press). Unification of countermanding and perceptual decision-making. iScience.
Servant, M., Tillman, G., Logan, G.D., Schall, J.D., & Palmeri, T.J. (2019). Neurally-constrained modeling of speed-accuracy tradeoff during visual search: Gated accumulation of modulated evidence. Journal of Neurophysiology.
Purcell, B.A., & Palmeri, T.J. (2017). Relating accumulator model parameters and neural dynamics. Journal of Mathematical Psychology, 76, 156-171.
Turner, B.M., Forstmann, B.U., Love, B., Palmeri, T.J., & Van Maanen, L. (2017). Approaches to analysis in model-based cognitive neuroscience. Journal of Mathematical Psychology, 76, 65-79.
Logan, G.D., Schall, J.D., & Palmeri, T.J. (2015). Neural models of stopping and going. In B. Forstmann & E.J. Wagenmakers (Eds.), An Introduction to Model-Based Cognitive Neuroscience, Springer Neuroscience.
Zandbelt, B.B., Purcell, B.A., Palmeri, T.J., Logan, G.D., Schall, J.D. (2014). Response times from ensembles of accumulators. Proceedings of the National Academy of Sciences, 111, 2848-2853.
Palmeri, T.J., Schall, J.D. & Logan, G.D. (2015). Neurocognitive modelling of perceptual decisions. In J.R. Busemeyer, J. Townsend, Z.J. Wang, & A. Eidels (Eds.), Oxford Handbook of Computational and Mathematical Psychology, Oxford University Press.
Purcell, B.A., Schall, J.D., Logan, G.D., & Palmeri, T.J. (2012). From salience to saccades: multiple-alternative gated stochastic accumulator model of visual search. Journal of Neuroscience, 32(10), 3433-3446.
Pouget, P., Logan, G.D., Palmeri, T.J., Boucher, L., & Schall, J.D. (2011). Neural basis of adaptive response time adjustment. Journal of Neuroscience, 31 (35), 12604-12612.
Schall, J.D., Purcell, B.A., Heitz, R.P., Logan, G.D., & Palmeri, T.J. (2011). Neural mechanisms of saccade target selection: Gated accumulator model of visual-motor cascade. European Journal of Neuroscience.
Purcell, B.A., Heitz, R.P., Cohen, J.Y., Schall, J.D., Logan, G.D., & Palmeri, T.J. (2010). Neurally-constrained modeling of perceptual decision making. Psychological Review, 117, 1113-1143.
Purcell, B.A., Schall, J.D., & Palmeri, T.J. (2009). Discrete versus continuous flow of information: Relating neural activity and the drift diffusion model. Proceedings of the Thirty-First Annual Meeting of the Cognitive Science Society (peer-reviewed proceedings paper), Amsterdam, The Netherlands.