Recurrent excitation in neocortical circuits

By Rodney J. Douglas, Christof Koch, M. Mahowald, Kevan A. C. Martin, Humbert Suarez. 1995

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Citations in the corpus

Continual Lifelong Learning with Neural Networks: A Review (2018, background): “Sophisticated cognitive functions rely on canonical neural circuits replicated across multiple brain areas (Douglas et al. 1995).”
Towards Deep Neural Network Architectures Robust to Adversarial Examples (2014, background): “…the robustness of human perception is due to complex hierarchies and recursions in the wirings of the human brain Felleman and Van Essen (1991); Douglas et al. (1995), since recursions provide multiple paths to input data and could retain locality information at multiple levels of…”
Normalization as a canonical neural computation (2011, background): “Anatomical evidence suggests the existence of canonical microcircuits that are replicated across brain areas, for example, across regions of the cerebral corte”
Deep Networks with Internal Selective Attention through Feedback Connections (2014, background): “The top-down connections are more numerous than bottom-up connections, and generally more diffuse [29].”
Synaptic Basis of Cortical Persistent Activity: the Importance of NMDA Receptors to Working Memory (1999, background): “Synaptic shunting inhibition has been suggested as a rate control mechanism in the neocortex (Douglas et al., 1995).”
A Synaptic Explanation of Suppression in Visual Cortex (2002, background): “intracortical excitation (Martin, 1988; Douglas et al., 1995) and”
Theory of cortical function (2017, background): “Anatomical evidence suggests the existence of canonical microcircuits that are replicated across cortical areas (24, 25).”
Characterization of neocortical principal cells and interneurons by network interactions and extracellular features. (2004, background): “Furthermore, intra- and juxtacellular studies carried out in vivo do not directly support the suggestion that fast firing neurons unequivocally identify interneurons (Azouz et al. 1997; Degenetais et al. 2002; Douglas et al. 1995; Gray and McCormick 1996; Steriade et al. 1998).”
Balanced amplification: a new mechanism of selective amplification of neural activity patterns (2009, unknown): “One function of this recurrent circuitry may be to selectively amplify certain patterns in the feedforward input, enhancing the signal-to-noise ratio of the selected patterns (Douglas et al., 1995; Ganguli et al., 2008).”
Orientation and direction selectivity of synaptic inputs in visual cortical neurons: a diversity of combinations produces spike tuning. (2003, background): “For this latter type of cells, component of broadly tuned and weak thalamic input conductance measurements showed that excitation (Douglas et al., 1995; Somers et al., 1995; Ben-Yishai et shared either the preference of the spiking output or al., 1995).”
Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians (2015, unknown): “000 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058”
Cell-cycle control and cortical development (2007, methodology): “The computations carried out by the cerebral cortex require specific patterns of connections between precise numbers of diverse types of neuron”
Fine-scale specificity of cortical networks depends on inhibitory cell type and connectivity (2005, methodology): “We classify excitatory connections between layer 2/3 pyramids as 'recurrent”
Deep Sparse Rectifier Neural Networks (2011, background): “The neuroscience literature (Bush and Sejnowski, 1995; Douglas and al., 2003) indicates that cortical neurons are rarely in their maximum saturation regime, and suggests that their activation function can be approximated by a rectifier.”