
Neuron, Journal Year: 2015, Volume and Issue: 88(2), P. 247 - 263
Published: Oct. 1, 2015
Language: Английский
Neuron, Journal Year: 2015, Volume and Issue: 88(2), P. 247 - 263
Published: Oct. 1, 2015
Language: Английский
Nature, Journal Year: 2013, Volume and Issue: 496(7444), P. 224 - 228
Published: March 19, 2013
Language: Английский
Citations
675Frontiers in Behavioral Neuroscience, Journal Year: 2018, Volume and Issue: 12
Published: July 3, 2018
Stress is recognized as an important issue in basic and clinical neuroscience research, based upon the founding historical studies by Walter Canon Hans Selye past century, when concept of stress emerged a biological adaptive perspective. A lot research after that period has expanded knowledge field. Since then, it was discovered response to stressful stimuli elaborated triggered the, now known, system, which integrates wide diversity brain structures that, collectively, are able detect events interpret them real or potential threats. However, different types stressors engage networks, requiring fine-tuned functional neuroanatomical processing. This integration information from stressor itself may result rapid activation Sympathetic-Adreno-Medullar (SAM) axis Hypothalamus-Pituitary-Adrenal (HPA) axis, two major components involved response. The complexity not restricted neuroanatomy SAM HPA axes mediators, but also diverge according timing duration exposure, well its short- and/or long-term consequences. identification neuronal circuits stress, their interaction with mediator molecules over time critical, only for understanding physiological responses, understand implications on mental health.
Language: Английский
Citations
641Current Opinion in Neurobiology, Journal Year: 2012, Volume and Issue: 23(2), P. 229 - 238
Published: Dec. 22, 2012
Recent work has advanced our knowledge of phasic dopamine reward prediction error signals. The signal is bidirectional, reflects well the higher order described by temporal difference learning models, compatible with model-free and model-based reinforcement learning, reports subjective rather than physical value during discounting stimulus perception aspects. Dopamine activations are primarily driven reward, to some extent risk, whereas punishment salience have only limited activating effects when appropriate controls respected. homogeneous in terms time course but heterogeneous many other It essential for synaptic plasticity a range behavioural situations.
Language: Английский
Citations
636Neuron, Journal Year: 2012, Volume and Issue: 73(6), P. 1184 - 1194
Published: March 1, 2012
Language: Английский
Citations
602Neuron, Journal Year: 2015, Volume and Issue: 87(3), P. 605 - 620
Published: July 23, 2015
Language: Английский
Citations
574Nature Neuroscience, Journal Year: 2012, Volume and Issue: 15(8), P. 1105 - 1107
Published: June 24, 2012
Language: Английский
Citations
530Nature Neuroscience, Journal Year: 2016, Volume and Issue: 19(2), P. 198 - 205
Published: Jan. 27, 2016
Language: Английский
Citations
474Neuron, Journal Year: 2018, Volume and Issue: 101(1), P. 133 - 151.e7
Published: Nov. 29, 2018
Language: Английский
Citations
473Cell, Journal Year: 2015, Volume and Issue: 162(3), P. 662 - 674
Published: July 1, 2015
Language: Английский
Citations
466Annual Review of Neuroscience, Journal Year: 2017, Volume and Issue: 40(1), P. 373 - 394
Published: April 25, 2017
Dopamine neurons facilitate learning by calculating reward prediction error, or the difference between expected and actual reward. Despite two decades of research, it remains unclear how dopamine make this calculation. Here we review studies that tackle problem from a diverse set approaches, anatomy to electrophysiology computational modeling behavior. Several patterns emerge synthesis: themselves calculate rather than inherit passively upstream regions; they combine multiple separate redundant inputs, which are interconnected in dense recurrent network; despite complexity output is remarkably homogeneous robust. The more study simple arithmetic computation, knottier appears be, suggesting daunting (but stimulating) path ahead for neuroscience generally.
Language: Английский
Citations
408