By Qi Zhao
Regardless of a plethora of clinical literature dedicated to imaginative and prescient study and the fad towards integrative learn, the borders among disciplines stay a realistic trouble. to deal with this challenge, this publication presents a scientific and complete evaluate of imaginative and prescient from a number of views, starting from neuroscience to cognition, and from computational ideas to engineering advancements. it truly is written via best overseas researchers within the box, with an emphasis on linking a number of disciplines and the influence such synergy may end up in by way of either medical breakthroughs and know-how techniques. It is geared toward energetic researchers and scientists and engineers in comparable fields.
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Extra info for Computational and Cognitive Neuroscience of Vision
In: Fried I, Rutishauser U, Cref U, Kreiman G (eds) Single neuron studies of the human brain. MIT Press, Boston, pp 229–247 Insights on Vision Derived from Studying Human Single Neurons 37 Adolphs R, Tranel D, Damasio H, Damasio A (1994) Impaired recognition of emotion in facial expressions following bilateral damage to the human amygdala. Nature 372:669–672 Barlow HB (2009) Single units and sensation: a neuron doctrine for perceptual psychology? Perception 38:371–394 Bettus G, Ranjeva JP, Wendling F, Bénar CG, Confort-Gouny S, Régis J, Chauvel P, Cozzone PJ, Lemieux L, Bartolomei F, Guye M (2011) Interictal functional connectivity of human epileptic networks assessed by intracerebral EEG and BOLD signal fluctuations.
Curr Opin Neurobiol 20:717–725 Shook BL, Schlag-Rey M, Schlag J (1990) Primate supplementary eye ﬁeld: I. comparative aspects of mesencephalic and pontine connections. J Comp Neurol 301:618–642 Solomon SG, Lennie P (2007) The machinery of colour vision. Nat Rev Neurosci 8:276–286 Sparks DL (2002) The brainstem control of saccadic eye movements. Nat Rev Neurosci 3:952–964 Sparks DL, Mays LE (1980) Movement ﬁelds of saccade-related burst neurons in the monkey superior colliculus. Brain Res 190:39–50 Squire RF, Noudoost B, Schafer RJ, Moore T (2013) Prefrontal contributions to visual selective attention.
1a, compare left and right panels). Object completion can be amodal when there is an explicit occluder and the subject cannot see the contours behind the occluder despite being aware of the overall shape (Singh 2004). In contrast, in the famous illusory triangle example (Fig. 1b), Kanizsa describes the phenomenon known as modal completion whereby the object is completed by inducing illusory contours that are perceived by the observer (Kanizsa 1979). Because these illusory inducers are rare in natural vision, in this chapter we focus on amodal completion.
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