Evolution of the Nervous System
... node causes an action potential at the next node Saltatory (jumping) Conduction ...
... node causes an action potential at the next node Saltatory (jumping) Conduction ...
Evolution of the Nervous System
... node causes an action potential at the next node Saltatory (jumping) Conduction ...
... node causes an action potential at the next node Saltatory (jumping) Conduction ...
PDF
... patterns result in the same functionality, in the case of the tadpole spinal cord: a pattern of spiking activity corresponding to swimming. We have used a “developmental” approach to modeling the connectome of the young Xenopus tadpole spinal cord, which means that connections are not prescribed but ...
... patterns result in the same functionality, in the case of the tadpole spinal cord: a pattern of spiking activity corresponding to swimming. We have used a “developmental” approach to modeling the connectome of the young Xenopus tadpole spinal cord, which means that connections are not prescribed but ...
Serre-Poggio_ACM_R2_finalSubmission
... the specificity-invariance trade-off. On the one hand, classification problem (red) line: One category is represented with “+” and the other with recognition must be able to finely discriminate “–”. Insets show 2D transformations (translation and scales) applied to examples from the two classes. Ill ...
... the specificity-invariance trade-off. On the one hand, classification problem (red) line: One category is represented with “+” and the other with recognition must be able to finely discriminate “–”. Insets show 2D transformations (translation and scales) applied to examples from the two classes. Ill ...
Answer on Question#47890 - Biology - Other
... line, the end of sarcomere. The thick myosin filaments lie between Z lines, but are not attached to them. According to sliding filament theory (accepted theory of contraction), during contraction sarcomeres shorten. Actin and myosin filaments remain the same size – they simply slide past each other, ...
... line, the end of sarcomere. The thick myosin filaments lie between Z lines, but are not attached to them. According to sliding filament theory (accepted theory of contraction), during contraction sarcomeres shorten. Actin and myosin filaments remain the same size – they simply slide past each other, ...
High-Resolution Labeling and Functional Manipulation of Specific
... response to prolonged depolarizing current injection (Fig. 3b; [31]). Light-evoked instantaneous firing rates reached up to 260 Hz. In response to 25 ms duration light pulses, the average latency to spike was 4.83+/21.13 ms, and ranged from 2.3 to 9.4 ms (n = 6). To confirm that the depolarizing eff ...
... response to prolonged depolarizing current injection (Fig. 3b; [31]). Light-evoked instantaneous firing rates reached up to 260 Hz. In response to 25 ms duration light pulses, the average latency to spike was 4.83+/21.13 ms, and ranged from 2.3 to 9.4 ms (n = 6). To confirm that the depolarizing eff ...
Dynamic computation in a recurrent network of heterogeneous
... evidence that, in this particular network state, clusters diffuse in a confined area. Indeed, over short time intervals (10 to 50ms), the mean-squared displacement varies linearly with time. In other words, the expected distance a cluster will travel is proportional to how long we wait (up until ≈ 5 ...
... evidence that, in this particular network state, clusters diffuse in a confined area. Indeed, over short time intervals (10 to 50ms), the mean-squared displacement varies linearly with time. In other words, the expected distance a cluster will travel is proportional to how long we wait (up until ≈ 5 ...
Single-trial decoding of intended eye movement goals from lateral
... Trials were segmented into 250-ms windows with 40% overlap (i.e., 100-ms steps); then we performed the MI test on spike counts for each segment spanning ⫺249 to 2,400 ms locked to target onset and again for segments spanning ⫺2,449 to 200 ms locked to saccade onset. The population MI at each segment ...
... Trials were segmented into 250-ms windows with 40% overlap (i.e., 100-ms steps); then we performed the MI test on spike counts for each segment spanning ⫺249 to 2,400 ms locked to target onset and again for segments spanning ⫺2,449 to 200 ms locked to saccade onset. The population MI at each segment ...
Neural correlates of decision processes
... A recent study by Roitman and Shadlen [11] extends a well-known line of research on the neural basis of visual discrimination. Monkeys discriminated the net direction of motion of a field of moving dots, with variable amounts of random noise, by shifting their gaze to one of two targets. Performanc ...
... A recent study by Roitman and Shadlen [11] extends a well-known line of research on the neural basis of visual discrimination. Monkeys discriminated the net direction of motion of a field of moving dots, with variable amounts of random noise, by shifting their gaze to one of two targets. Performanc ...
Induction of c-fos Expression in Hypothalamic Magnocellular
... increasein oxytocin neuronal firing during lactation. Thus, either the pattern of activity during lactation is not suitable for the induction of C-$X or an appropriate synaptically driven mechanismis not operating. C&s transcription can be induced in cells by a number of secondmessenger systems,incl ...
... increasein oxytocin neuronal firing during lactation. Thus, either the pattern of activity during lactation is not suitable for the induction of C-$X or an appropriate synaptically driven mechanismis not operating. C&s transcription can be induced in cells by a number of secondmessenger systems,incl ...
Does computational neuroscience need new synaptic
... configuration of sensory data the correct output is 5.8 (regression task). The objective of supervised learning is to optimize parameters of a machine or mathematical function that takes a data point as input and predicts the output, that is, that performs a correct classification or prediction. Mac ...
... configuration of sensory data the correct output is 5.8 (regression task). The objective of supervised learning is to optimize parameters of a machine or mathematical function that takes a data point as input and predicts the output, that is, that performs a correct classification or prediction. Mac ...
The Nervous System
... Cortex: the outermost layer of gray matter in cerebrum and cerebellum White matter: collection of nerve fibers, white color during fresh ...
... Cortex: the outermost layer of gray matter in cerebrum and cerebellum White matter: collection of nerve fibers, white color during fresh ...
Comparing neuronal and behavioral thresholds
... were (a) clockwise rotating spiral stimuli with different amounts of expansion or contraction (80, 82, 84, 86, 88, 92, 94, 96, 98, 1001) for the clockwise standard stimulus (901), and (b) counterclockwise rotating stimuli with different amounts of expansion and contraction (260, 262, 264, 266, 268, ...
... were (a) clockwise rotating spiral stimuli with different amounts of expansion or contraction (80, 82, 84, 86, 88, 92, 94, 96, 98, 1001) for the clockwise standard stimulus (901), and (b) counterclockwise rotating stimuli with different amounts of expansion and contraction (260, 262, 264, 266, 268, ...
Neurotransmitters:
... 5. Some dopamine is broken down in the synapse. 6. Some dopamine is taken back into the original cell and recycled (this is called “reuptake”). What are some things that might go wrong in the process you just modeled that may result in low levels of dopamine? ...
... 5. Some dopamine is broken down in the synapse. 6. Some dopamine is taken back into the original cell and recycled (this is called “reuptake”). What are some things that might go wrong in the process you just modeled that may result in low levels of dopamine? ...
Nerves and how they work File
... Communication between neurons and between neurons and target tissue • Neurons do not directly touch one another • Neither to their directly touch their target tissue i.e. a muscle cell or glandular tissue • There is a minute gap called the …………………? • The action potential does not jump across the ga ...
... Communication between neurons and between neurons and target tissue • Neurons do not directly touch one another • Neither to their directly touch their target tissue i.e. a muscle cell or glandular tissue • There is a minute gap called the …………………? • The action potential does not jump across the ga ...
Multilayer neural networks
... Information is stored and processed in a neural network simultaneously throughout the whole network, rather than at specific locations. In other words, in neural networks, both data and its processing are global rather than local. Learning is a fundamental and essential characteristic of biologi ...
... Information is stored and processed in a neural network simultaneously throughout the whole network, rather than at specific locations. In other words, in neural networks, both data and its processing are global rather than local. Learning is a fundamental and essential characteristic of biologi ...
Evolving Connectionist and Fuzzy-Connectionist Systems for
... and hybrid systems [5,6,9,12,13,16,21]. The traditional approach to building decision making and control systems assumes that a model is preliminary designed based on existing knowledge and/or data. The above methods and the resulting systems are usually concerned with the precision of the control o ...
... and hybrid systems [5,6,9,12,13,16,21]. The traditional approach to building decision making and control systems assumes that a model is preliminary designed based on existing knowledge and/or data. The above methods and the resulting systems are usually concerned with the precision of the control o ...
Unsupervised feature learning from finite data by
... per neuron in the inset of Fig. 2(a). This quantity that describes how many feature vectors are consistent with the data becomes negative (i.e., entropy crisis [13,14]) at a zero-entropy αZE . However, the BP equation is still stable (convergent), and thus the instability occurs after the entropy cr ...
... per neuron in the inset of Fig. 2(a). This quantity that describes how many feature vectors are consistent with the data becomes negative (i.e., entropy crisis [13,14]) at a zero-entropy αZE . However, the BP equation is still stable (convergent), and thus the instability occurs after the entropy cr ...
Imitation as Faithful Copying of a Novel Technique in Marmoset
... Generalist or associative models would have no problems to include marmosets into the range of species capable of imitation, because they rely solely on task- and species-general processes of associative learning and action control. For instance, the ‘associative sequence learning’ (ASL) model [10,2 ...
... Generalist or associative models would have no problems to include marmosets into the range of species capable of imitation, because they rely solely on task- and species-general processes of associative learning and action control. For instance, the ‘associative sequence learning’ (ASL) model [10,2 ...
Indeterminism And The Brain - Philsci
... diffuses across this cleft. When it reaches the membrane of the neighboring neuron, it binds to specific receptors that cause a depolarization of the membrane. The result is a so-called synaptic potential. If this potential reaches a certain threshold, the neighboring cell fires a new action potenti ...
... diffuses across this cleft. When it reaches the membrane of the neighboring neuron, it binds to specific receptors that cause a depolarization of the membrane. The result is a so-called synaptic potential. If this potential reaches a certain threshold, the neighboring cell fires a new action potenti ...
Slide 1
... • Recurrent networks have at least one feedback connection: – They have thus directed cycles with delays: they have internal state (like flip flops), can oscillate, etc. – The response to an input depends on the initial state which may depend on previous inputs – can model short-time memory – Hopfie ...
... • Recurrent networks have at least one feedback connection: – They have thus directed cycles with delays: they have internal state (like flip flops), can oscillate, etc. – The response to an input depends on the initial state which may depend on previous inputs – can model short-time memory – Hopfie ...
Physiological and Morphological Analysis of Synaptic Transmission
... the resultant voltage changes. We have determined that or what we have called the transmission coefAV,re/A’J,st, ficient, is X = 0.51, as measured in the somata of the two cells. Evidence which we have obtained leads us to propose that these inhibitory connections between motor neurons are probably ...
... the resultant voltage changes. We have determined that or what we have called the transmission coefAV,re/A’J,st, ficient, is X = 0.51, as measured in the somata of the two cells. Evidence which we have obtained leads us to propose that these inhibitory connections between motor neurons are probably ...
01_MEEG_Origin - University College London
... the lower coil (near the head) than the upper get a net change in current flow at the inut coil. ...
... the lower coil (near the head) than the upper get a net change in current flow at the inut coil. ...