One-dimensional dynamics of attention and decision making in LIP.

By Surya Ganguli, James W. Bisley, J. Roitman, Michael N. Shadlen, Michael E. Goldberg, Kenneth D. Miller. 2008

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In Cognitive Neuroscience

Citations in the corpus

Orthogonal representations for robust context-dependent task performance in brains and neural networks (2022, neutral): “An alternative theory states that neural representations are mixed selective but structured on a low-dimensional and task-specific manifold (Ganguli et al., 2008; Sadtler et al., 2014; Gao and Ganguli, 2015; Chaudhuri et al., 2019; Cueva et al., 2020) where correlated patterns of firing confer robus”
Memory without Feedback in a Neural Network (2009, background): “…tasks ranging from speech recognition to EEG analysis (Principe et al., 1993; Tank and Hopﬁeld, 1987), and a recent information-theoretic study (Ganguli et al., 2008b) shows that the information remembered by a network about a previous input signal is maximal for a network with functionally…”
Decision making in recurrent neuronal circuits. (2008, background): “consistent with the finding that, in the LIP data recorded from the RDM experiment (Roitman and Shadlen, 2002), the dynamics within each of the two selective neural pools is dominated by a slow mode (Ganguli et al., 2008); thus, the description of two competing neural pools requires two dynamical va”
Balanced amplification: a new mechanism of selective amplification of neural activity patterns (2009, unknown): “Neurosci., abstract). Awake cortex may also show a significant difference in the timescale of network activity relative to anesthetized cortex: in awake V1 (Fiser et al., 2004; and J. Zhao, G. Szirtes, M. Eisele, J. Fiser, C. Chiu, M. Weliky, and K.D.M., unpublished data) and in awake monkey LIP ( G”
Cortical control of arm movements: a dynamical systems perspective. (2013, background): “Just as importantly, there are growing bodies of neural data that are difficult to interpret from a purely representational framework but may be more approachable when dynamical systems concepts are brought to bear (e.g., Ganguli et al. 2008, Machens et al. 2010).”
Effective learning is accompanied by high-dimensional and efficient representations of neural activity (2017, background): “For example, data from the lateral intraparietal area in macaques suggests that neuronal spiking maps onto a one-dimensional dynamical trajectory [22].”
Dynamics of robust pattern separability in the hippocampal dentate gyrus (2015, background): “Relatedly, there are many prior reports of neural responses being constrained to low-dimensional regions of the space of possible neural responses (Seung, 1996; Wimmer et al., 2014; Ganguli et al., 2008; Yoon et al., 2013).”
Insects have the capacity for subjective experience (2016, background): “These pathways propagate both feedforward and feedback activities (involving both excitatory and inhibitory signals) (Douglas, 1995; Ganguli et al., 2008; Murphy and Miller, 2009).”
Functional, but Not Anatomical, Separation of "what" and "when" in Prefrontal Cortex Gaussian-process Factor Analysis for Low-dimensional Single-trial Analysis of Neural Population Activity (unknown): “2 in Ganguli et al. 2008, for a detailed explanation of the state space trajectories shown in Fig.”
Laminar structure of spontaneous and sensory-evoked population activity in auditory cortex (2009, unknown): “Recent studies have suggested that the structure of spontaneous population activity in many ways mimics that of sensory responses (Curto et al., 2009; Ganguli et al., 2008; Kenet et al., 2003; Luczak et al., 2009; MacLean et al., 2005).”
Attention, Intention, and Priority in the Parietal Lobe (2010, background): “The time at which attention shifted from the distractor back to the saccade goal was present at the level of the single neuron (Bisley & Goldberg 2006, Ganguli et al. 2008), suggesting that this behavioral trait is hardwired into the network properties of the neurons.”