Concepts, goals and the control of survival-related behaviors

[1]  Andrea Scarantino Are LeDoux’s survival circuits basic emotions under a different name? , 2018, Current Opinion in Behavioral Sciences.

[2]  Drew B. Headley,et al.  Multi-dimensional Coding by Basolateral Amygdala Neurons , 2018, Neuron.

[3]  Daniel T. Blumstein,et al.  Escaping From Predators: An Integrative View of Escape Decisions , 2018 .

[4]  Joseph E LeDoux,et al.  Surviving threats: neural circuit and computational implications of a new taxonomy of defensive behaviour , 2018, Nature Reviews Neuroscience.

[5]  D. Mobbs The ethological deconstruction of fear(s) , 2018, Current Opinion in Behavioral Sciences.

[6]  M. Fanselow Emotion, motivation and function , 2018, Current Opinion in Behavioral Sciences.

[7]  M. C. Ferrari,et al.  Daily variation in behavioural lateralization is linked to predation stress in a coral reef fish , 2017, Animal Behaviour.

[8]  M. A. MacIver,et al.  Visual Threat Assessment and Reticulospinal Encoding of Calibrated Responses in Larval Zebrafish , 2017, Current Biology.

[9]  Karl Deisseroth,et al.  Molecular and Circuit-Dynamical Identification of Top-Down Neural Mechanisms for Restraint of Reward Seeking , 2017, Cell.

[10]  Sophie Denève,et al.  The Brain as an Efficient and Robust Adaptive Learner , 2017, Neuron.

[11]  William E. Allen,et al.  Global Representations of Goal-Directed Behavior in Distinct Cell Types of Mouse Neocortex , 2017, Neuron.

[12]  Lisa Feldman Barrett,et al.  The theory of constructed emotion: an active inference account of interoception and categorization , 2017, Social cognitive and affective neuroscience.

[13]  P. Dayan,et al.  Algorithms for survival: a comparative perspective on emotions , 2017, Nature Reviews Neuroscience.

[14]  L. F. Barrett How Emotions Are Made: The Secret Life of the Brain , 2017 .

[15]  Joseph E LeDoux,et al.  A higher-order theory of emotional consciousness , 2017, Proceedings of the National Academy of Sciences.

[16]  W. K. Simmons,et al.  Evidence for a Large-Scale Brain System Supporting Allostasis and Interoception in Humans , 2017, Nature Human Behaviour.

[17]  Emilio Bizzi,et al.  Cortical circuits and modules in movement generation: experiments and theories , 2016, Current Opinion in Neurobiology.

[18]  M. C. Ferrari,et al.  At odds with the group: changes in lateralization and escape performance reveal conformity and conflict in fish schools , 2016, Proceedings of the Royal Society B: Biological Sciences.

[19]  Helen J. Huang,et al.  A Representation of Effort in Decision-Making and Motor Control , 2016, Current Biology.

[20]  Avishek Adhikari,et al.  Wiring and Molecular Features of Prefrontal Ensembles Representing Distinct Experiences , 2016, Cell.

[21]  E. Marder,et al.  Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance , 2016, Current Opinion in Neurobiology.

[22]  Iwona Stepniewska,et al.  Evolution of posterior parietal cortex and parietal‐frontal networks for specific actions in primates , 2016, The Journal of comparative neurology.

[23]  Wolfram Schultz,et al.  Dopamine reward prediction-error signalling: a two-component response , 2016, Nature Reviews Neuroscience.

[24]  Timothy W. Dunn,et al.  Neural Circuits Underlying Visually Evoked Escapes in Larval Zebrafish , 2016, Neuron.

[25]  L. F. Barrett,et al.  Redefining the Role of Limbic Areas in Cortical Processing , 2016, Trends in Cognitive Sciences.

[26]  Daniel M Wolpert,et al.  Parallel specification of competing sensorimotor control policies for alternative action options , 2016, Nature Neuroscience.

[27]  Talia N. Lerner,et al.  Basomedial amygdala mediates top–down control of anxiety and fear , 2015, Nature.

[28]  Drew B. Headley,et al.  Amygdala Signaling during Foraging in a Hazardous Environment , 2015, The Journal of Neuroscience.

[29]  Joseph E. LeDoux,et al.  Anxious: Using the Brain to Understand and Treat Fear and Anxiety , 2015 .

[30]  H. Barbas General cortical and special prefrontal connections: principles from structure to function. , 2015, Annual review of neuroscience.

[31]  W. K. Simmons,et al.  Interoceptive predictions in the brain , 2015, Nature Reviews Neuroscience.

[32]  Peter Sterling,et al.  Principles of Neural Design , 2015 .

[33]  A. Lüthi,et al.  Neuronal circuits for fear and anxiety , 2015, Nature Reviews Neuroscience.

[34]  Barbara L. Finlay,et al.  Developmental mechanisms channeling cortical evolution , 2015, Trends in Neurosciences.

[35]  Cyril Herry,et al.  Encoding of fear learning and memory in distributed neuronal circuits , 2014, Nature Neuroscience.

[36]  D. Bannerman,et al.  Aversive Prediction Error Signals in the Amygdala , 2014, The Journal of Neuroscience.

[37]  D. Paré,et al.  Amygdala Microcircuits Controlling Learned Fear , 2014, Neuron.

[38]  Jorge Sepulcre,et al.  Functional Streams and Cortical Integration in the Human Brain , 2014, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[39]  C. Heyes,et al.  Mirror neurons: from origin to function. , 2014, The Behavioral and brain sciences.

[40]  G. McNally,et al.  The conditions that promote fear learning: Prediction error and Pavlovian fear conditioning , 2014, Neurobiology of Learning and Memory.

[41]  Reza Shadmehr,et al.  Cerebellum estimates the sensory state of the body , 2014, Trends in Cognitive Sciences.

[42]  A. Clark Whatever next? Predictive brains, situated agents, and the future of cognitive science. , 2013, The Behavioral and brain sciences.

[43]  B. Finlay,et al.  Modeling Transformations of Neurodevelopmental Sequences across Mammalian Species , 2013, The Journal of Neuroscience.

[44]  James H. Marshel,et al.  Diverging neural pathways assemble a behavioural state from separable features in anxiety , 2013, Nature.

[45]  N. Canteras,et al.  The many paths to fear , 2012, Nature Reviews Neuroscience.

[46]  Lisa Feldman Barrett,et al.  Emotions are real. , 2012, Emotion.

[47]  P. Sterling Allostasis: A model of predictive regulation , 2012, Physiology & Behavior.

[48]  Joseph E LeDoux Rethinking the Emotional Brain , 2012, Neuron.

[49]  Stefano Nolfi,et al.  Co-evolving predator and prey robots , 2012, Adapt. Behav..

[50]  S. Denéve,et al.  Neural processing as causal inference , 2011, Current Opinion in Neurobiology.

[51]  E. Marder,et al.  Multiple models to capture the variability in biological neurons and networks , 2011, Nature Neuroscience.

[52]  O. Sporns Networks of the Brain , 2010 .

[53]  J. Krakauer,et al.  Error correction, sensory prediction, and adaptation in motor control. , 2010, Annual review of neuroscience.

[54]  K. Catania Tentacled snakes turn C-starts to their advantage and predict future prey behavior , 2009, Proceedings of the National Academy of Sciences.

[55]  Axel Bender,et al.  Degeneracy: a design principle for achieving robustness and evolvability. , 2009, Journal of theoretical biology.

[56]  L. Dill,et al.  Towards a predictive framework for predator risk effects: the interaction of landscape features and prey escape tactics. , 2009, The Journal of animal ecology.

[57]  E. Fernández-Juricic,et al.  Factors affecting intra- and inter-specific variations in the difference between alert distances and flight distances for birds in forested habitats , 2002 .

[58]  D. Floreano,et al.  Synthesis of autonomous robots through evolution , 2002, Trends in Cognitive Sciences.

[59]  G. Edelman,et al.  Degeneracy and complexity in biological systems , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[60]  E Bizzi,et al.  Motor learning through the combination of primitives. , 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[61]  Stefano Nolfi,et al.  Co-evolving predator and prey robots , 1998, Artificial Life.

[62]  Stefano Nolfi,et al.  Evolutionary robotics , 2014, Evolutionary Intelligence.

[63]  D. Kramer,et al.  The influence of distance to burrow on flight initiation distance in the woodchuck, Marmota monax , 1996 .

[64]  S. L. Lima,et al.  Behavioral decisions made under the risk of predation: a review and prospectus , 1990 .

[65]  Drew B. Headley,et al.  Multi-dimensional Coding by Basolateral Amygdala Neurons Graphical , 2018 .

[66]  Karl J. Friston,et al.  Active Inference: A Process Theory , 2017, Neural Computation.

[67]  P. Hof,et al.  4.08 – Evolutionary Specializations of Human Brain Microstructure , 2017 .

[68]  Patrick R Hof,et al.  Human brain evolution writ large and small. , 2012, Progress in brain research.