Natural stimuli evoke dynamic sequences of states in sensory cortical ensembles

By Lauren M. Jones, A. Fontanini, B. Sadacca, P. Miller, Donald B. Katz. Proceedings of the National Academy of Sciences of the United States of America, 2007

303 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/74bdee75ad36d142024c0b305d994f79bf72fb43

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. David Sussillo
2. Omri Barak
3. Wolfgang Maass
4. Stefan Klampfl
5. David Balduzzi
6. Giulio Tononi
7. Rafael Yuste
8. Herbert Jaeger

In Cognitive Neuroscience

1. Giulio Tononi
2. David Sussillo
3. Wolfgang Maass
4. David Balduzzi
5. Omri Barak
6. Stefan Klampfl
7. Stephen D. Van Hooser
8. Keith B. Hengen

Citations in the corpus

• 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): “…that the neural data not be averaged across trials, but instead be analyzed on a trial-by-trial basis (Arieli et al. 1996; Briggman et al. 2006; Churchland et al. 2007; Czanner et al. 2008; Horwitz and Newsome 2001; Jones et al. 2007; Nawrot et al. 1999; Ventura et al. 2005; Yu et al. 2006).”
• Transient Cognitive Dynamics, Metastability, and Decision Making (2008, background): “There is experimental evidence to support that metastability and transient dynamics are key phenomena that can contribute to the modeling of cortex processes and thus yield a better understanding of a dynamical brain [18,25–30].”
• Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks (2013, methodology): “Our technique, and the dynamical concepts explored using it, may also provide insight on the observed experimental findings of low-dimensional dynamics in invivo neuroscience experiments, (Romo et al., 1999; Stopfer et al., 2003; Jones et al., 2007; Ahrens et al., 2012).”
• Emergence of Dynamic Memory Traces in Cortical Microcircuit Models through STDP (2013, background): “The resulting network activity in the model is strikingly similar to the experimentally observed stereotypical trajectories of network states in sensory cortices (Jones et al., 2007; Luczak et al., 2007; Luczak et al., 2009; Bathellier et al., 2012), hippocampus and prefrontal cortex (Fujisawa et al”
• Firing Rate Homeostasis in Visual Cortex of Freely Behaving Rodents (2013, methodology): “We obtained chronic multielectrode recordings as described (Jones et al., 2007; Sadacca et al., 2012; Piette et al., 2012) from both hemispheres of monocular V1 in freely behaving animals, recorded several hours of activity during the same circadian period each day for 9 days, and separated units…”
• Integrated Information in Discrete Dynamical Systems: Motivation and Theoretical Framework (2008, background): “Intriguingly, some initial evidence obtained with multiunit recordings suggests that in awake, behaving animals populations of neurons may undergo a similar metastable dynamics [30,31].”