Literatura académica sobre el tema "Neuronal discrimination"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Neuronal discrimination".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Neuronal discrimination"
Deng, Yingchun, Peter Williams, Feng Liu y Jianfeng Feng. "Neuronal discrimination capacity". Journal of Physics A: Mathematical and General 36, n.º 50 (1 de diciembre de 2003): 12379–98. http://dx.doi.org/10.1088/0305-4470/36/50/003.
Texto completoBoynton, Geoffrey M., Jonathan B. Demb, Gary H. Glover y David J. Heeger. "Neuronal basis of contrast discrimination". Vision Research 39, n.º 2 (enero de 1999): 257–69. http://dx.doi.org/10.1016/s0042-6989(98)00113-8.
Texto completoHeeger, D. J. "Neuronal correlates of contrast detection and discrimination". Journal of Vision 2, n.º 10 (1 de diciembre de 2002): 13. http://dx.doi.org/10.1167/2.10.13.
Texto completoSpitzer, H., R. Desimone y J. Moran. "Increased attention enhances both behavioral and neuronal performance". Science 240, n.º 4850 (15 de abril de 1988): 338–40. http://dx.doi.org/10.1126/science.3353728.
Texto completoLi, Wu, Peter Thier y Christian Wehrhahn. "Contextual Influence on Orientation Discrimination of Humans and Responses of Neurons in V1 of Alert Monkeys". Journal of Neurophysiology 83, n.º 2 (1 de febrero de 2000): 941–54. http://dx.doi.org/10.1152/jn.2000.83.2.941.
Texto completoAdibi, Mehdi y Ehsan Arabzadeh. "A Comparison of Neuronal and Behavioral Detection and Discrimination Performances in Rat Whisker System". Journal of Neurophysiology 105, n.º 1 (enero de 2011): 356–65. http://dx.doi.org/10.1152/jn.00794.2010.
Texto completoMatsumora, Takehiro, Kowa Koida y Hidehiko Komatsu. "Relationship Between Color Discrimination and Neural Responses in the Inferior Temporal Cortex of the Monkey". Journal of Neurophysiology 100, n.º 6 (diciembre de 2008): 3361–74. http://dx.doi.org/10.1152/jn.90551.2008.
Texto completoOrban, Guy A. y Rufin Vogels. "The neuronal machinery involved in successive orientation discrimination". Progress in Neurobiology 55, n.º 2 (junio de 1998): 117–47. http://dx.doi.org/10.1016/s0301-0082(98)00010-0.
Texto completoArabzadeh, Ehsan, Colin W. G. Clifford, Justin A. Harris, David A. Mahns, Vaughan G. Macefield y Ingvars Birznieks. "Single tactile afferents outperform human subjects in a vibrotactile intensity discrimination task". Journal of Neurophysiology 112, n.º 10 (15 de noviembre de 2014): 2382–87. http://dx.doi.org/10.1152/jn.00482.2014.
Texto completoSmith, Jackson E. T. y Andrew J. Parker. "Correlated structure of neuronal firing in macaque visual cortex limits information for binocular depth discrimination". Journal of Neurophysiology 126, n.º 1 (1 de julio de 2021): 275–303. http://dx.doi.org/10.1152/jn.00667.2020.
Texto completoTesis sobre el tema "Neuronal discrimination"
Ménardy, Fabien. "Reconnaissance des signaux de communication chez le diamant mandarin : étude des réponses des neurones d’une aire auditive secondaire". Thesis, Paris 11, 2012. http://www.theses.fr/2012PA11T049/document.
Texto completoHow sensory signals are encoded in the brain and whether their behavioural relevance affects their encoding are central questions in sensory neuroscience. Studies have consistently shown that behavioural relevance can change the neural representation of sounds in the auditory system, but what occurs in the context of natural acoustic communication where significance could be acquired through social interaction remains to be explored. The zebra finch, a highly social songbird species that forms lifelong pair bonds and uses a vocalization, the distance call, to identify its mate offers an opportunity to address this issue. One auditory area in the songbird telencephalon, the caudo-medial nidopallium (NCM) that is considered as being analogous to the secondary mammalian auditory cortex, has recently emerged as part of the neural substrate for sensory representation of species-specific vocalizations: the activation of NCM neurons is greatest when birds are exposed to conspecific song, as compared to heterospecific song or artificial stimuli. This led us to investigate whether, in the zebra finch, NCM neurons could contribute to the discrimination among vocalizations that differ in their degree of familiarity: calls produced by the mate, by familiar individuals (males or females), or by unfamiliar individuals (males or females). In females, behaviourally relevant calls, i.e. the mate’s call and familiar calls, evoked responses of greater magnitude than unfamiliar calls. This distinction between responses was seen both in multiunit recordings from awake freely moving mated females (using a telemetric system) and in single unit recordings from anesthetized mated females. In contrast, control females that had not heard them previously displayed response of similar magnitude to call stimuli. In addition, more cells showed highly selective responses in mated than in control females suggesting that experience-dependent plasticity in call-evoked responses resulted in enhanced discrimination of auditory stimuli. In males, as in females, call playback evoked robust auditory responses. However, neurons in males did not appear capable of categorizing the calls of individuals (males or females) as ‘‘familiar’’ or ‘‘unfamiliar’’. Then, we investigated how calls are represented in the NCM of zebra finches by assessing whether certain call-specific acoustic cues drove NCM neurons to a greater degree than others. Behavioural studies had previously identified call-specific acoustic cues that are necessary to elicit a vocal response from male and female zebra finches. Single-unit recordings indicated that NCM neurons in females were particularly sensitive to call modifications in the spectral domain: suppressing the fundamental frequency of call stimuli or modifying the relative energy levels of harmonics in call caused a marked decrease in response magnitude of NCM neurons. In males, NCM neurons also appear to be sensitive to call modifications in the spectral domain, however changes in magnitude of responses (increase or decrease) depended on the acoustic cue that had been modified.Our results provide evidence that the NCM is a telencephalic auditory region that contributes to the processing of the distance call, in females as well in males. However, how the distance call is processed and represented in the NCM appears to differ between males and females. In females, the NCM could be involved in dicrimination between call stimuli whereas, in males, its functional role in call-processing remains to be determined. Our results also suggest that, in females, social experience with the call of individuals, by affecting the degree to which neurons discriminated between these calls, may shape the functional properties of neurons in a telencephalic auditory area. The functional properties of auditory neurons may therefore change continuously to adapt to the social environment
Meisel, Joshua D. (Joshua Daniel). "The genetic, neuronal, and chemical basis for microbial discrimination in Caenorhabditis elegans". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104172.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references.
Discrimination among pathogenic and beneficial microbes is essential for host organism immunity and homeostasis. Increasingly, the nervous system of animals is being recognized as an important site of bacterial recognition, but the molecular mechanisms underlying this process remain unclear. Chapter One discusses how the nematode Caenorhabditis elegans can be used to dissect the genetic and neuronal mechanisms that coordinate behavioral responses to bacteria. In Chapter Two, we show that chemosensory detection of two secondary metabolites produced by Pseudomonas aeruginosa modulates a neuroendocrine signaling pathway that promotes C. elegans avoidance behavior. Specifically, secondary metabolites phenazine- I -carboxamide and pyochelin activate a G protein-signaling pathway in the ASJ chemosensory neuron pair that induces expression of the neuromodulator DAF-7/TGF-[beta]. DAF-7, in turn, activates a canonical TGF-P signaling pathway in adjacent interneurons to modulate aerotaxis behavior and promote avoidance of pathogenic P. aeruginosa. This chapter provides a chemical, genetic, and neuronal basis for how the behavior and physiology of a simple animal host can be modified by the microbial environment, and suggests that secondary metabolites produced by microbes may provide environmental cues that contribute to pathogen recognition and host survival. Genetic dissection of neuronal responses to bacteria in C. elegans can also lend insights into neurobiology more generally. In Chapter Three we show that loss of the lithium-sensitive phosphatase bisphosphate 3'-nucleotidase (BPNT-1) results in the selective dysfunction of the ASJ chemosensory neurons. As a result, BPNT- 1 mutants are defective in behaviors dependent on the ASJ neurons, such as pathogen avoidance and dauer exit. Acute treatment with lithium also causes reversible dysfunction of the ASJ neurons, and we show that this effect is mediated specifically through inhibition of BPNT-1. Finally, we show that lithium's selective effect on the nervous system is due in part to the limited expression of the cytosolic sulfotransferase SSU-1 in the ASJ neuron pair. Our data suggest that lithium, through inhibition of BPNT- 1 in the nervous system, can cause selective toxicity to specific neurons, resulting in corresponding effects on behavior of C. elegans. In Chapter Four I discuss the future directions for the genetic dissection of pathogen recognition in C. elegans.
by Joshua D. Meisel.
Ph. D.
Ortiz, Cantin. "Neuronal discrimination of visual environments differentially depends on behavioural context in the hippocampus and neocortex". Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS311.
Texto completoForming memories of the environment is essential for survival, whether it is for finding food, escaping predators or seeking shelter. To create spatial memories, one first needs to generate a mental representation of the surroundings, which is referred to as a cognitive map. Such maps are believed to emerge in the hippocampus, a brain region known to play a crucial role in the formation of new episodic memories, and more specifically in its output layer CA1. To efficiently use spatial memories, it is necessary to be able to ascertain whether a location has already been visited. This requires discriminating between potentially similar yet distinct sensory environments. It is thought that the dentate gyrus (DG), the entry layer of the hippocampus, plays a pivotal role in this ability. Indeed, it has been shown to perform neuronal pattern separation by creating decorrelated neuronal representations of its inputs, even when they share a high degree of similarity. Before reaching the hippocampus, sensory signals are initially processed in sensory cortices. Visual representations are formed in the primary visual cortex (V1), which is situated at the earliest stage of the neocortical hierarchy. V1 has traditionally been thought of as a brain region that represents low-level visual features, such as bars of a specific orientation or length. However, recent research has demonstrated that neuronal activity is already behaviourally modulated at this initial level of visual processing, with spatial representations emerging concurrently.Considering the growing evidence that the distinctions between these two regions are more complex than previously thought, we wondered how they may differentially contribute to sensory processing. We hypothesised that primary sensory cortices provide a faithful representation of the sensory environment to distributed brain regions, whereas the hippocampus produces a cognitive map that is weighted according to the behavioural relevance of the sensory inputs. To test this hypothesis, we aimed to determine how complex sensory stimuli differentially depend on the behavioural context in V1, CA1 and DG. We performed two-photon calcium imaging of head fixed mice navigating in a virtual-reality linear track. Mice were exposed to alternating environments by changing visual textures along the virtual corridor. During active navigation, movements in the virtual environment were controlled by the animal motion on a running wheel. By contrast, in a passive open-loop condition, the visual scene was completely uncoupled from animal locomotion.We found that environments could be discriminated based on the activity of single neurons in all regions during active navigation. However, while neurons in V1 maintained a high level of discrimination in the passive exposure condition, those in the hippocampus failed to discriminate between environments. A decoder trained to predict the visited corridor based on the activity of all neurons revealed that the discrimination at the population level was similarly affected by the behavioural context. Moreover, the results indicated that the degree of discrimination correlated with running speed in the hippocampus, but not in V1, which further supports the idea that neuronal activity is more dependent on the current behaviour in the hippocampus than in V1.We concluded that task engagement is therefore necessary for neuronal discrimination in the hippocampus, while it simply modulates it in V1, suggesting that primary sensory cortices serve as robust general-purpose discriminators of sensory inputs, while the hippocampus selectively discriminates behaviourally relevant inputs. Overall, these results reveal how information about the environment is differentially processed as it is transmitted to the hippocampus, with fundamental implications for our understanding of how the brain filters information as it is made available to the memory circuits in the hippocampus
Ahn, Sungwoo. "Transient and Attractor Dynamics in Models for Odor Discrimination". The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1280342970.
Texto completoAbolafia, Moya Juan Manuel. "Neuronal basis of auditory adaptation and temporal discrimination in the auditory cortex of the awake freely moving rat". Doctoral thesis, Universitat de Barcelona, 2011. http://hdl.handle.net/10803/31992.
Texto completoAlzaher, Mariam. "Mismatch negativity, un marqueur neuronal de la plasticité spatiale auditive chez les sujets sourds unilatéraux". Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30253.
Texto completoThis thesis investigates different spatial hearing functions in 3 types of populations: Normal Hearing Subjects (NHS), Unilateral Hearing Loss patients (UHL) and Bilateral Hearing Loss patients ( BHL). To discover the mechanisms underlying the adaptive strategies that are observed in UHL with acquired deafness. The main aim of the thesis is to verify whether spatial Mismatch Negativity (MMN) could be a neuronal marker of spatial auditory plasticity observed in UHL patients, and to verify whether these neural correlates are consistent with the spatial auditory performance. Two types of investigations were applied to 20 NHS, 21 UHL and 14 BHL. The first investigation is a sound source identification task measured by the root mean square error (RMS). The second assessment is an electroencephalography (EEG) study where we analyzed the amplitude and latency of the MMN. MMN is defined as an auditory evoked potential that reflects the brain's ability to detect a change in one physical property of a sound. We used a standard sound in a reference position (50°) with three deviations from the standard (10° , 20°, and 100°), in binaural and monaural conditions. UHL patients were divided into 3 groups according to their spatial performances. The group of good performers (UHL {low rms}) showed better RMS scores in comparison with NHS with earplugs (NHS-mon), with performances similar to those of NHS subjects in binaural condition. A progressive increase of the MMN with the angle of deviation from the standard was noted in all groups. With a significant reduction of MMN amplitude in monaural NHS when the ear plug was applied on the ipsilateral side of the standard. MMN showed consistent variation with the behavioral observations, where UHL {low rms} patients had larger MMN amplitudes than those of monaural NHS and similar to those of binaural NHS. UHL patients have adaptive spatial auditory strategies. Our study was able to demonstrate that spatial auditory plasticity that occurs after deafness can be reflected by the MMN. Neural observations (i.e. the MMN) are correlated with behavioral observations of spatial source identification. This means that the spatial cortical plasticity, that took place in these subjects, is not limited to the functions of identification of the sound source, but exceeds these capacities towards more complex mechanisms such as deviance detection and short-term memory, that are involved in the spatial discrimination function
Sun, Weilun [Verfasser] y Alexander [Gutachter] Dityatev. "Role of retrosplenial cortex in context discrimination and the underlying neuronal coding in mouse (mus musculus) / Weilun Sun ; Gutachter: Alexander Dityatev". Magdeburg : Universitätsbibliothek Otto-von-Guericke-Universität, 2020. http://d-nb.info/1219965065/34.
Texto completoLarsson, Johan P. "Modelling neuronal mechanisms of the processing of tones and phonemes in the higher auditory system". Doctoral thesis, Universitat Pompeu Fabra, 2012. http://hdl.handle.net/10803/97293.
Texto completoThough much experimental research exists on both basic neural mechanisms of hearing and the psychological organization of language perception, there is a relative paucity of modelling work on these subjects. Here we describe two modelling efforts. One proposes a novel mechanism of frequency selectivity improvement that accounts for results of neurophysiological experiments investigating manifestations of forward masking and above all auditory streaming in the primary auditory cortex (A1). The mechanism works in a feed-forward network with depressing thalamocortical synapses, but is further showed to be robust to a realistic organization of the neural circuitry in A1, which accounts for a wealth of neurophysiological data. The other effort describes a candidate mechanism for explaining differences in word/non-word perception between early and simultaneous bilinguals found in psychophysical studies. By simulating lexical decision and phoneme discrimination tasks in an attractor neural network model, we strengthen the hypothesis that people often exposed to dialectal word variations can store these in their lexicons, without altering their phoneme representations.
Se ha investigado mucho tanto los mecanismos neuronales básicos de la audición como la organización psicológica de la percepción del habla. Sin embargo, en ambos temas hay una relativa escasez en cuanto a modelización. Aquí describimos dos trabajos de modelización. Uno propone un nuevo mecanismo de mejora de selectividad de frecuencias que explica resultados de experimentos neurofisiológicos investigando manifestaciones de forward masking y sobre todo auditory streaming en la corteza auditiva principal (A1). El mecanismo funciona en una red feed-forward con depresión sináptica entre el tálamo y la corteza, pero mostramos que es robusto a la introducción de una organización realista del circuito de A1, que a su vez explica cantidad de datos neurofisiológicos. El otro trabajo describe un mecanismo candidato de explicar el hallazgo en estudios psicofísicos de diferencias en la percepción de palabras entre bilinguës tempranos y simultáneos. Simulando tareas de decisión léxica y discriminación de fonemas, fortalecemos la hipótesis de que personas expuestas a menudo a variaciones dialectales de palabras pueden guardar éstas en su léxico, sin alterar representaciones fonémicas.
Pernot, Etienne. "Choix d'un classifieur en discrimination". Paris 9, 1994. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=1994PA090014.
Texto completoKang, Jing. "Discrimination and control in stochastic neuron models". Thesis, University of Warwick, 2009. http://wrap.warwick.ac.uk/3155/.
Texto completoLibros sobre el tema "Neuronal discrimination"
Clark, Kelsey L., Behrad Noudoost, Robert J. Schafer y Tirin Moore. Neuronal Mechanisms of Attentional Control. Editado por Anna C. (Kia) Nobre y Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.010.
Texto completoChirimuuta, Mazviita y Ian Gold. The Embedded Neuron, the Enactive Field? Editado por John Bickle. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780195304787.003.0010.
Texto completoPearce, Tim C. Chemosensation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0017.
Texto completoCapítulos de libros sobre el tema "Neuronal discrimination"
Steinmetz, Michael A., Ranulfo Romo y Vernon D. Mountcastle. "Cortical Neuronal Mechanisms for Frequency Discrimination in the Somesthetic Sense of Flutter". En Information Processing in the Somatosensory System, 289–303. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-11597-6_21.
Texto completoFeng, Albert S. y Theodore H. Bullock. "Neuronal Mechanisms for Object Discrimination in the Weakly Electric Fish Eigenmannia Virescens". En How do Brains Work?, 233–50. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-9427-3_25.
Texto completoPerez-Uribe, Andres y Héctor F. Satizábal. "Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity". En Artificial Neural Networks and Machine Learning – ICANN 2012, 201–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33269-2_26.
Texto completoReichardt, W. "Movement Detection and Figure-Ground Discrimination". En From Neuron to Action, 267–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-662-02601-4_30.
Texto completoLinster, C., M. Kerszberg y C. Masson. "Pheromone detection, ratio discrimination and oscillations: a new approach to olfactory coding." En Computation in Neurons and Neural Systems, 179–84. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2714-5_29.
Texto completoNorthmore, David P. M. y John G. Elias. "Discrimination of Phase-Coded Spike Trains by Silicon Neurons with Artificial Dendritic Trees". En Computational Neuroscience, 153–57. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-9800-5_25.
Texto completoSalvadori, G. y G. Biella. "Discriminating Properties of Wide Dynamic Range Neurons by Means of Universal Multifractals". En Fractals in Biology and Medicine, 314–25. Basel: Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8936-0_24.
Texto completoOhgushi, M., H. Ifuku y H. Ogawa. "Effects of IV Angiotensin II on Cortical Neurons During a Salt-Water Discrimination GO/NOGO-Task in Monkeys". En Olfaction and Taste XI, 539. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68355-1_225.
Texto completoTollin, Daniel J. "Interaural Level Difference Discrimination Thresholds and Virtual Acoustic Space Minimum Audible Angles for Single Neurons in the Lateral Superior Olive". En Hearing – From Sensory Processing to Perception, 425–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73009-5_46.
Texto completoTHUNBERG, J., F. HELLSTRÖM, M. BERGENHEIM, J. PEDERSEN y H. JOHANSSON. "NEURONAL CODING AND MOVEMENT DISCRIMINATION IN PROPRIOCEPTION". En Neuronal Coding Of Perceptual Systems, 263–67. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812811899_0021.
Texto completoActas de conferencias sobre el tema "Neuronal discrimination"
Samavat, Mohammad, Dori Luli y Sharon Crook. "Neuronal network models for sensory discrimination". En 2016 50th Asilomar Conference on Signals, Systems and Computers. IEEE, 2016. http://dx.doi.org/10.1109/acssc.2016.7869533.
Texto completoGoh, Aik, Stefan Craciun, Sudhir Rao, David Cheney, Karl Gugel, Justin C. Sanchez y Jose C. Principe. "Wireless transmission of neuronal recordings using a portable real-time discrimination/compression algorithm". En 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4650196.
Texto completoMetcalfe, Benjamin, Daniel Chew, Chris Clarke, Nick Donaldson y John Taylor. "An enhancement to velocity selective discrimination of neural recordings: Extraction of neuronal firing rates". En 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944528.
Texto completoMuresan, Denisa Bianca, Raluca-Dana Ciure, Eugen Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan y Mihaela Dins. "Spike sorting using Superlets: Evaluation of a novel feature space for the discrimination of neuronal spikes". En 2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2022. http://dx.doi.org/10.1109/iccp56966.2022.10053955.
Texto completoCastro-Silupu, Wilson, Monica Saavedra-Garcia, Himer Avila-George, Miguel De la Torre-Gomora y Adriano Bruno-Tech. "Probabilistic or Convolutional-LSTM neuronal networks: a comparative study of discrimination capacity on frozen - thawed fish fillets". En 2022 11th International Conference On Software Process Improvement (CIMPS). IEEE, 2022. http://dx.doi.org/10.1109/cimps57786.2022.10035684.
Texto completoKuebler, Eric S., Elise Bonnema, James McCorriston y Jean-Philippe Thivierge. "Stimulus discrimination in networks of spiking neurons". En 2013 International Joint Conference on Neural Networks (IJCNN 2013 - Dallas). IEEE, 2013. http://dx.doi.org/10.1109/ijcnn.2013.6706975.
Texto completoPrice, P. y D. Regan. "Periodicity in orientation discrimination threshold". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.thn4.
Texto completoDorogov, Alexander Yu. "Correlation Discriminator of Signals in the Class of Fast Neural Networks". En 2022 III International Conference on Neural Networks and Neurotechnologies (NeuroNT). IEEE, 2022. http://dx.doi.org/10.1109/neuront55429.2022.9805510.
Texto completoChen, Yue, Harold E. Bedell y Laura J. Frishman. "The Effects of Cross-Spatial-Frequency Adaptation on Speed Discrimination". En Vision Science and its Applications. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/vsia.1996.sad.2.
Texto completoŠuch, Ondrej, Martin Klimo y Ondrej Škvarek. "Phoneme discrimination using a pair of neurons built from CRS fuzzy logic gates". En PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4912539.
Texto completo