Statistical Script Learning with Multi
... and z. If we were to simply keep the entities as they are and calculate raw co-occurrence counts, we would get evidence only for x = mary, y = bob, and z = question. One approach to this problem would be to deploy one of many previously described Statistical Relational Learning methods, for example ...
... and z. If we were to simply keep the entities as they are and calculate raw co-occurrence counts, we would get evidence only for x = mary, y = bob, and z = question. One approach to this problem would be to deploy one of many previously described Statistical Relational Learning methods, for example ...
Probabilistic Topic Models - UCI Cognitive Science Experiments
... depending on the weight given to the topic. For example, documents 1 and 3 were generated by sampling only from topic 1 and 2 respectively while document 2 was generated by an equal mixture of the two topics. Note that the superscript numbers associated with the words in documents indicate which top ...
... depending on the weight given to the topic. For example, documents 1 and 3 were generated by sampling only from topic 1 and 2 respectively while document 2 was generated by an equal mixture of the two topics. Note that the superscript numbers associated with the words in documents indicate which top ...
Synaptic inhibition is caused by:
... c. the width of the synaptic cleft d. the speed of impulse conduction down the pre-synaptic neurons e. cerebellar interactions with the caudate nuclei, mediated by the insula and the mammillary body ...
... c. the width of the synaptic cleft d. the speed of impulse conduction down the pre-synaptic neurons e. cerebellar interactions with the caudate nuclei, mediated by the insula and the mammillary body ...
Review of signal distortion through metal microelectrode recording
... when Za is not substantially larger than Ze , Vin will be less than Vsig . This signal attenuation will be accompanied by a phase shift between Vsig and Vin because Za and Ze are complex values with phases and magnitudes. When multiplying and dividing complex numbers, phases are respectively add ...
... when Za is not substantially larger than Ze , Vin will be less than Vsig . This signal attenuation will be accompanied by a phase shift between Vsig and Vin because Za and Ze are complex values with phases and magnitudes. When multiplying and dividing complex numbers, phases are respectively add ...
Fast Propagation of Firing Rates through Layered Networks of Noisy
... that neuronal firing rates are typically highly variable has been used as an argument that only the mean firing rate encodes information. A potential problem with rate coding is that given typical firing rates (10 –100 Hz) and the irregularity of firing (Poisson-like statistics), averaging times of ...
... that neuronal firing rates are typically highly variable has been used as an argument that only the mean firing rate encodes information. A potential problem with rate coding is that given typical firing rates (10 –100 Hz) and the irregularity of firing (Poisson-like statistics), averaging times of ...
Chronic multiunit recordings in behaving animals: advantages and
... fMRI does not accurately reflect the spiking activity of neurons in a particular brain area but seems to be related more to the input coming from other brain structures (Logothetis et al., 2001). Till date, the golden standard to investigate the way information is processed within brain structures s ...
... fMRI does not accurately reflect the spiking activity of neurons in a particular brain area but seems to be related more to the input coming from other brain structures (Logothetis et al., 2001). Till date, the golden standard to investigate the way information is processed within brain structures s ...
1 - Philosophy and Predictive Processing
... This is what we here call the first feature of predictive processing: Top-Down Processing. As can be seen, the idea that perception is partly driven by top-down processes is not new (which is not to deny that dominant theories of perception have for a long time marginalized their role). The novel co ...
... This is what we here call the first feature of predictive processing: Top-Down Processing. As can be seen, the idea that perception is partly driven by top-down processes is not new (which is not to deny that dominant theories of perception have for a long time marginalized their role). The novel co ...
Spontaneous and Stimulus-Evoked Intrinsic Optical Signals in
... activity, and effects of changing sound pressure level (SPL). It is not clear, however, to what extent these apparent differences are due to species differences or recording methodology because in only one case (Bakin et al. 1996) were optical images verified with electrophysiological recording. For ...
... activity, and effects of changing sound pressure level (SPL). It is not clear, however, to what extent these apparent differences are due to species differences or recording methodology because in only one case (Bakin et al. 1996) were optical images verified with electrophysiological recording. For ...
Spontaneous and Stimulus-Evoked Intrinsic Optical Signals in
... activity, and effects of changing sound pressure level (SPL). It is not clear, however, to what extent these apparent differences are due to species differences or recording methodology because in only one case (Bakin et al. 1996) were optical images verified with electrophysiological recording. For ...
... activity, and effects of changing sound pressure level (SPL). It is not clear, however, to what extent these apparent differences are due to species differences or recording methodology because in only one case (Bakin et al. 1996) were optical images verified with electrophysiological recording. For ...
Reflections on agranular architecture: predictive coding in the motor
... Figure 2. Graphical representation of the computational interactions between expectation and error units: the interactions depicted here are based on the differential equations describing the neuronal dynamics implied by generalised predictive coding (e.g., Equation 3 in [30]). Note the hierarchical ...
... Figure 2. Graphical representation of the computational interactions between expectation and error units: the interactions depicted here are based on the differential equations describing the neuronal dynamics implied by generalised predictive coding (e.g., Equation 3 in [30]). Note the hierarchical ...
Analysis of Firing Correlations Between Sympathetic Premotor
... activity of premotor neurons might be synchronized by common inputs from those driving sources, especially if they are rhythmic, as suggested by Gebber, Barman and colleagues (see Gebber 1980, 1990). Alternatively the driving inputs might come from multiple, asynchronous sources, causing little sync ...
... activity of premotor neurons might be synchronized by common inputs from those driving sources, especially if they are rhythmic, as suggested by Gebber, Barman and colleagues (see Gebber 1980, 1990). Alternatively the driving inputs might come from multiple, asynchronous sources, causing little sync ...
DECODING NEURONAL FIRING AND MODELING NEURAL
... of neurons must be interpreted collectively. The second step is described in 2) below. The spike train produced by a single neuron can be extremely complex, reflecting in part the complexity of the underlying neuronal dynamics, problem ii). A method for analyzing neuronal spike trains based on a li ...
... of neurons must be interpreted collectively. The second step is described in 2) below. The spike train produced by a single neuron can be extremely complex, reflecting in part the complexity of the underlying neuronal dynamics, problem ii). A method for analyzing neuronal spike trains based on a li ...
Articles in PresS. J Neurophysiol (March 20, 2003). 10.1152/jn
... rewards, in comparison to secondary reinforcements, such as tones. The mechanism of this rewarddependent modulation has not been established experimentally. To assess the hypothesis that direct neuromodulatory effects of dopamine on spiny neurons can account for this modulation, we develop a computa ...
... rewards, in comparison to secondary reinforcements, such as tones. The mechanism of this rewarddependent modulation has not been established experimentally. To assess the hypothesis that direct neuromodulatory effects of dopamine on spiny neurons can account for this modulation, we develop a computa ...
Phase synchronization of bursting neurons in clustered small
... connections in the brain are known to be short-ranged and all the long-range connections are excitatory. Therefore, if inhibitory connections shall be included in a model like the present one, they should be only between neurons in the same subnetwork and connections between two subnetworks should b ...
... connections in the brain are known to be short-ranged and all the long-range connections are excitatory. Therefore, if inhibitory connections shall be included in a model like the present one, they should be only between neurons in the same subnetwork and connections between two subnetworks should b ...
Viability of Artificial Neural Networks in Mobile Health- care Gavin Harper
... this paper as the writing style has been intentionally structured to introduce new concepts in a logical and progressive manner. ...
... this paper as the writing style has been intentionally structured to introduce new concepts in a logical and progressive manner. ...
Likelihood approaches to sensory coding in auditory cortex
... is to infer something about the value of a parameter, which is unknown, based on observed ...
... is to infer something about the value of a parameter, which is unknown, based on observed ...