1,721,086 research outputs found
Rodrigo Quian Quiroga
No full textDepartment of Engineering, University of Leicester, Leicester LE1 7RH, U
Science as a quest: Don Quixote, neuroscience and the interrogation of truth
No full textNeuroscientist Rodrigo Quian Quiroga has wondered whether «scientists, embarked upon their personal quests – their quixotic endeavours – spend their time just thinking». This adjectival invocation of Cervantes’s Don Quixote pitches science as an epic quest that equates scientific rationality with the Don’s delusions. Does science quest after truth in a quixotic, literary way that philosopher Nicholas Maxwell terms «rationalistically neurotic»
La ciència com a cerca. Don Quixot, la neurociència i l'interrogatori de la veritat
No full textEl neurocientífic Rodrigo Quian Quiroga es va preguntar si «els científics, embarcats en cerques personals i quixotesques croades, es passen el temps pensant». Aquesta invocació adjectival del Quixot de Cervantes presenta la ciència com una cerca èpica que equipara la racionalitat científica amb els deliris de Don Quixot. És la cerca de la veritat per part de la ciència, quixotesca i literària, un «racionalisme neuròtic», en paraules del filòsof Nicholas Maxwell
How Do We Recognize a Face?
No full textHow individual faces are encoded by neurons in high-level visual areas has been a subject of active debate. An influential model is that neurons encode specific faces. However, Chang and Tsao conclusively show that, instead, these neurons encode features along specific axes, which explains why they were previously found to respond to apparently different faces
Magic and cognitive neuroscience.
No full textIn recent years, neuroscientists have shown an increasing interest in magic. One reason for this is the parallels that can be drawn between concepts that have long been discussed in magic theory, particularly misdirection, and those that are routinely studied in cognitive neuroscience, such as attention and, as argued in this essay, different forms of memory. A second and perhaps more attractive justification for this growing interest is that magic tricks offer novel experimental approaches to cognitive neuroscience. In fact, magicians continuously demonstrate in very engaging ways one of the most basic principles of brain function - how the brain constructs a subjective reality using assumptions based on relatively little and ambiguous information
Neuronal codes for visual perception and memory.
No full textIn this review, I describe and contrast the representation of stimuli in visual cortical areas and in the medial temporal lobe (MTL). While cortex is characterized by a distributed and implicit coding that is optimal for recognition and storage of semantic information, the MTL shows a much sparser and explicit coding of specific concepts that is ideal for episodic memory. I will describe the main characteristics of the coding in the MTL by the so-called concept cells and will then propose a model of the formation and recall of episodic memory based on partially overlapping assemblies
Neuronal codes for visual perception and memory.
No full textIn this review, I describe and contrast the representation of stimuli in visual cortical areas and in the medial temporal lobe (MTL). While cortex is characterized by a distributed and implicit coding that is optimal for recognition and storage of semantic information, the MTL shows a much sparser and explicit coding of specific concepts that is ideal for episodic memory. I will describe the main characteristics of the coding in the MTL by the so-called concept cells and will then propose a model of the formation and recall of episodic memory based on partially overlapping assemblies
Dataset: Human single-cell recording
No full textThis is a 30' multi-unit recording in the medial temporal lobe of an epileptic patient from Itzhak Fried's lab at UCLA. (74MB zip)Use wave_clus (see https://www2.le.ac.uk/centres/csn/software/wave-clus) for spike detection and sorting of this data. Wave_clus is a fast and unsupervised algorithm for spike detection and sorting compatible with Windows, Mac or Linux operating systems.</div
Simulated dataset
No full textA simulated dataset that has been
widely used in the evaluation of spike-sorting algorithms. Synthetic datasets are generated by adding spike waveform templates to background noise of various levels; this download contains several datasets, generated using different spike templates.Use wave_clus (see www2.le.ac.uk/centres/csn/software/wave-clus) for spike detection and sorting of this data. Wave_clus is a fast and unsupervised algorithm for spike detection and sorting compatible with Windows, Mac or Linux operating systems.</div
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