Neural Coding Principles
Neural Coding Principles - Related Videos
02:39
lncRNA - Long Non-coding RNAs
0 Views •
2020
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA (lncRNA)...
08:37
Le Châtelier's Principle
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2023
Source: Laboratory of Dr. Lynne O'Connell — Boston College When the conditions of a system at equilibrium are altered, the system responds in such a way as to maintain the equilibrium. In 1888, Henri-Lewis Le Châtelier described this phenomenon in a principle that states, "When a change in temperature, pressure, or concentration disturbs a system in chemical equilibrium, the change will be counteracted by an alteration in the equilibrium composition." This experiment demonstrates Le Châtelier's...
04:08
The Uncertainty Principle
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2020
Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He mathematically...
03:06
The Pauli Exclusion Principle
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2020
The arrangement of electrons in the orbitals of an atom is called its electron configuration. We describe an electron configuration with a symbol that contains three pieces of information: The number of the principal quantum shell, n, The letter that designates the orbital type (the subshell, l), and A superscript number that designates the number of electrons in that particular subshell. For example, the notation 2p4 indicates four electrons in a p subshell (l = 1) with a principal...
12:48
Isolation and Culture of Neural Crest Cells from Embryonic Murine Neural Tube
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Cited by 26 •
2012
Isolation of embryonic neural crest from the neural tube facilitates the use of in vitro methods for studying migration, self-renewal, and multipotency of neural crest.
FAQs
Firing rate and spike timing provide complementary descriptions of neural activity. The number of spikes over a period can carry information about stimulus intensity or identity, while the precise timing of spikes can represent temporal structure. Considering both measures helps distinguish signals that might appear similar when analyzed only by average activity.
Synapses and network circuits do more than pass information unchanged. They decode incoming activity, reshape its pattern, and determine how signals are integrated before reaching other neurons. This transformation allows the nervous system to modify representations as information moves through a circuit, supporting links between sensory signals, behavior, and decisions.
Coordinated activity across populations can represent information that is not fully captured by any one neuron. Different neurons may contribute signals about stimulus features such as location, timing, or identity, and their combined activity can provide a richer representation. Studying populations therefore helps explain how neural systems support perception and motor control.
Researchers examine patterns of electrical activity in relation to the stimuli, behaviors, or decisions under study. They may compare firing rates, spike timing, and coordinated activity across neurons to determine which features are represented. These analyses connect recorded brain signals with computational models and help clarify how information is transformed within neural circuits.
Brain-computer interfaces rely on relationships between recorded neural activity and intended actions or other relevant information. Coding principles guide the interpretation of firing rates, spike timing, or population activity so that signals can be linked to behavior. This framework supports systems designed to translate brain activity into useful control information.
The same coding framework can be used to study how sensory features are represented, how motor commands are organized, and how activity changes during learning or decisions. Comparing neural signals across these functions helps researchers trace information from stimulus processing to behavior, while also providing context for disorders involving disrupted neural communication.