Communication as an emergent metaphor for neuronal operation
... technical applications of neural networks the abstraction is even higher - axonic and dendritic arborisations are completely neglected - hence they cannot in principle model the complex information processing taking place in these arbors [13]. We think that the brain functioning is best described in ...
... technical applications of neural networks the abstraction is even higher - axonic and dendritic arborisations are completely neglected - hence they cannot in principle model the complex information processing taking place in these arbors [13]. We think that the brain functioning is best described in ...
Unbalanced Decision Trees for Multi-class
... Multi-class classification algorithms fall into two broad categories: the first type directly deals with multiple values in the target field, the second type breaks down the multiclass problem into a collection of binary class subproblems and then combines them to make a full multiclass prediction. ...
... Multi-class classification algorithms fall into two broad categories: the first type directly deals with multiple values in the target field, the second type breaks down the multiclass problem into a collection of binary class subproblems and then combines them to make a full multiclass prediction. ...
Wolfram Technology Conference 2016, Urbana
... A comparison with real epileptic brain networks obtained from EEG inverse signal processing is planned for the future. Quesada, D.; Astudillo, N.; Garcia-Russo, M. Effect of Brain network topologies on the synchronization of neuronal oscillations: Is this, the gateway to the understanding of Central ...
... A comparison with real epileptic brain networks obtained from EEG inverse signal processing is planned for the future. Quesada, D.; Astudillo, N.; Garcia-Russo, M. Effect of Brain network topologies on the synchronization of neuronal oscillations: Is this, the gateway to the understanding of Central ...
Reliable prediction of T-cell epitopes using neural networks with
... encoding scheme is defined in terms of a hidden Markov model. The details of this encoding are described later in section 3.3. The sparse versus the Blosum sequence-encoding scheme constitutes two different approaches to represent sequence information to the neural network. In the sparse encoding th ...
... encoding scheme is defined in terms of a hidden Markov model. The details of this encoding are described later in section 3.3. The sparse versus the Blosum sequence-encoding scheme constitutes two different approaches to represent sequence information to the neural network. In the sparse encoding th ...
1 Platonic model of mind as an approximation to neurodynamics
... Although large body of empirical facts have been accumulated in cognitive psychology [2] so far only very few attempts that aim at a unified theory of cognition have been made. They came mostly from the artificial intelligence perspective. John Anderson’s series of ACT models 2 , developed by him an ...
... Although large body of empirical facts have been accumulated in cognitive psychology [2] so far only very few attempts that aim at a unified theory of cognition have been made. They came mostly from the artificial intelligence perspective. John Anderson’s series of ACT models 2 , developed by him an ...
Scaling self-organizing maps to model large cortical networks
... Each neuron in the map is colored according to the orientation it prefers. The white outline shows the extent of the patchy self-organized lateral inhibitory connections of one neuron (marked with a white square), which has a horizontal orientation preference. The strongest long-range connections of ...
... Each neuron in the map is colored according to the orientation it prefers. The white outline shows the extent of the patchy self-organized lateral inhibitory connections of one neuron (marked with a white square), which has a horizontal orientation preference. The strongest long-range connections of ...
ANN - Loughborough University Institutional Repository
... human brain and the nervous system learning to perform functions (an input/output map). The neurons are grouped into subsets (input, output and hidden layers) connected to one another having bias and transfer functions associated with them. Generally, networks with biases, a sigmoid layer, and a lin ...
... human brain and the nervous system learning to perform functions (an input/output map). The neurons are grouped into subsets (input, output and hidden layers) connected to one another having bias and transfer functions associated with them. Generally, networks with biases, a sigmoid layer, and a lin ...
Institute of Psychology C.N.R.
... happens to develop that determines the actual value. The notion of a reaction norm is perhaps too simple for dealing with the more complex cases of gene/environment interaction but it appears to be useful to indicate in general terms the type of interaction between genes and environment that cause t ...
... happens to develop that determines the actual value. The notion of a reaction norm is perhaps too simple for dealing with the more complex cases of gene/environment interaction but it appears to be useful to indicate in general terms the type of interaction between genes and environment that cause t ...
Fading memory and kernel properties of generic cortical microcircuit
... domain D and range R are sets of finite character strings. This computational model is universal (for deterministic offline digital computation) in the sense that every deterministic digital function that is computable at all (according to a well-established mathematical definition, see [41]) can be com ...
... domain D and range R are sets of finite character strings. This computational model is universal (for deterministic offline digital computation) in the sense that every deterministic digital function that is computable at all (according to a well-established mathematical definition, see [41]) can be com ...
Mechanisms to synchronize neuronal activity
... cortex (area 17) of anesthetized cats (Gray and Singer 1989; Gray et al. 1990) a broad peak in the frequency spectrum has been found in the range 35±70 Hz. This is in line with results by Eckhorn et al. (1988) who reported an even broader distribution of oscillation frequencies in areas 17 and 18 of ...
... cortex (area 17) of anesthetized cats (Gray and Singer 1989; Gray et al. 1990) a broad peak in the frequency spectrum has been found in the range 35±70 Hz. This is in line with results by Eckhorn et al. (1988) who reported an even broader distribution of oscillation frequencies in areas 17 and 18 of ...
Classification of Artificial Intelligence IDS
... the ability of a skilled attacker to evade detection by exploiting ambiguities in the traffic stream as seen by the network intrusion detection system (NIDS) [1] [3]. The NIDS may less capability complete analysis for the full range of behaviour allowed by a particular protocol. For instance, attack ...
... the ability of a skilled attacker to evade detection by exploiting ambiguities in the traffic stream as seen by the network intrusion detection system (NIDS) [1] [3]. The NIDS may less capability complete analysis for the full range of behaviour allowed by a particular protocol. For instance, attack ...
Resistive communications based on neuristors
... Memristors are used in hardware neural networks, both to implement different learning algorithms and back propagation. It is also used to build neuromorphic systems (hardware that mimics the brain). Memristors can also be used in analog circuits, for example as reconfigurable resistors to change the ...
... Memristors are used in hardware neural networks, both to implement different learning algorithms and back propagation. It is also used to build neuromorphic systems (hardware that mimics the brain). Memristors can also be used in analog circuits, for example as reconfigurable resistors to change the ...
Anatomical and molecular analyses used to
... the pelvis and why they believe it should be reclassified. Igor Adameyko with the Karolinska Institutet in Sweden offers a Perspective piece on the work done by the team in the same journal issue and further describes a type of biomedical device called a neural dust implant that is being used in ele ...
... the pelvis and why they believe it should be reclassified. Igor Adameyko with the Karolinska Institutet in Sweden offers a Perspective piece on the work done by the team in the same journal issue and further describes a type of biomedical device called a neural dust implant that is being used in ele ...
Parameter adjustment in Bayes networks. The generalized noisy OR
... state. The second approach is applied in (9] and [14]. The problem addressed in this paper is, as in S-L, to update sequentially the parameters of a probability distribution. The main difference from their work is that we assume a normal distribution for the param eters (not for the log-odds). We w ...
... state. The second approach is applied in (9] and [14]. The problem addressed in this paper is, as in S-L, to update sequentially the parameters of a probability distribution. The main difference from their work is that we assume a normal distribution for the param eters (not for the log-odds). We w ...
Barlow, Horace (2001) - Cambridge Neuroscience
... retinas. The average frequency of impulses certainly becomes lower in the cortex, so coding does become sparser, but even if the capacity is deemed to be limited by this reduced mean firing rate, the increased number of cells dominates: on any plausible assumptions the capacity of the cortical repre ...
... retinas. The average frequency of impulses certainly becomes lower in the cortex, so coding does become sparser, but even if the capacity is deemed to be limited by this reduced mean firing rate, the increased number of cells dominates: on any plausible assumptions the capacity of the cortical repre ...
SPP 1665: Resolving and manipulating neuronal networks in the
... quantities of interest such as spike trains of individual neurons. To address this issue, spike reconstruction algorithms have been introduced. One limitation of such reconstructions is that the underlying models are not informed about the biophysics of spike and burst generations. Such existing pri ...
... quantities of interest such as spike trains of individual neurons. To address this issue, spike reconstruction algorithms have been introduced. One limitation of such reconstructions is that the underlying models are not informed about the biophysics of spike and burst generations. Such existing pri ...
Nervous System
... Sensory (Afferent) Neurons carry incoming information from the sense receptors to the CNS. Motor (Efferent) Neurons carry outgoing information from the CNS to muscles and glands. Interneurons connect the two neurons. ...
... Sensory (Afferent) Neurons carry incoming information from the sense receptors to the CNS. Motor (Efferent) Neurons carry outgoing information from the CNS to muscles and glands. Interneurons connect the two neurons. ...
Automatic and Voluntary Shifts of Attention in a Dynamic Neural... the Dimensional Change Card Sort Task
... visual cortex. To highlight the dynamics that lead to peak formation, Figure 2 shows a 1-dimensional spatial system (the same architecture and dynamics are present for the 2dimensional fields to be described below, except the interactions are along both dimensions). For these 1dimensional fields, ne ...
... visual cortex. To highlight the dynamics that lead to peak formation, Figure 2 shows a 1-dimensional spatial system (the same architecture and dynamics are present for the 2dimensional fields to be described below, except the interactions are along both dimensions). For these 1dimensional fields, ne ...
Honors Thesis
... dopamine” which is said to cause the symptoms of Parkinson’s." When medication does not work, brain surgery is an option. The safest, least harmful method of surgery is Deep Brain Stimulation, a.k.a. DBS. This entails sending “electrical impulses” into target regions through electrodes inserted into ...
... dopamine” which is said to cause the symptoms of Parkinson’s." When medication does not work, brain surgery is an option. The safest, least harmful method of surgery is Deep Brain Stimulation, a.k.a. DBS. This entails sending “electrical impulses” into target regions through electrodes inserted into ...
Proceedings of 2013 BMI the Second International Conference on
... There is a growing body of research about the outcomes of using virtual avatars (and other mediated self-representations). For example, the Proteus Effect suggests that people behave in ways that conform to their avatars' characteristics, even after avatar use, e.g., using taller avatars leads to mo ...
... There is a growing body of research about the outcomes of using virtual avatars (and other mediated self-representations). For example, the Proteus Effect suggests that people behave in ways that conform to their avatars' characteristics, even after avatar use, e.g., using taller avatars leads to mo ...
Parts of the Neuron 45
... also convey messages to your glands, causing them to release hormones, chemical substances that help regulate bodily processes. Interneurons (also called associative neurons) are the most common type of neuron in the nervous system. They connect neurons to neurons. In the spinal cord, they connect s ...
... also convey messages to your glands, causing them to release hormones, chemical substances that help regulate bodily processes. Interneurons (also called associative neurons) are the most common type of neuron in the nervous system. They connect neurons to neurons. In the spinal cord, they connect s ...
Serre-Poggio_ACM_R2_finalSubmission
... several layers of such processing stages, the resulting image representation can be used much more efficiently for taskdependent learning and classification by higher brain areas. Such processing stages can be learned during development from temporal streams of natural images by exploiting the stati ...
... several layers of such processing stages, the resulting image representation can be used much more efficiently for taskdependent learning and classification by higher brain areas. Such processing stages can be learned during development from temporal streams of natural images by exploiting the stati ...
mayberry.sardsrn
... result such as a parse tree. Such an architecture is powerful for two reasons: (1) During the parse, the network does not have to guess what is coming up later in the sentence, as it would if it always had to shoot for the final parse result; its only task is to build a representation of the current ...
... result such as a parse tree. Such an architecture is powerful for two reasons: (1) During the parse, the network does not have to guess what is coming up later in the sentence, as it would if it always had to shoot for the final parse result; its only task is to build a representation of the current ...