Large-scale recording of neuronal ensembles Flashcards
Describe the two ways spike pattern variability has been treated
Spike threshold and pattern variability have been traditionally viewed as an indication of the brain’s imperfection, a noise that should be averaged out to reveal the brain’s true attitude toward the invariant input .
Alternatively, we may hypothesise that the ‘noise’, that is, the mismatch between the physical input and neuronal response, reflects self-organised patterns in the brain, and it is this centrally coordinated activity of cortical neurons that creates cognition
How can we obtain indications of the brain’s perspective of the environment?
Extracting the variant (brain-generated) features, including the temporal relations among neuronal assemblies and assembly members from the invariant features represented by the physical world might provide clues about the brain’s perspective on its environment.
What can we do with current technology and what is required to achieve the full potential of massively parallel neuronal recordings?
Currently, wire and micro- machined silicon electrode arrays can record from large numbers of neurons and monitor local neural circuits at work. Achieving the full potential of massively parallel neuronal recordings, however, will require further development of the neuron–electrode interface, automated and efficient spike- sorting algorithms for effective isolation and identification of single neurons, and new mathematical insights for the analysis of network properties.
How does Buzsaki use the metaphor of a orchestra to describe EEG/ MEG?
The first available method is to record the total noise generated by the orchestra but without the ability to distinguish the instruments and musicians. The dynamics of the continuous time-variable signal can be analysed by various mathematical means in the time and frequency domains, but these methods can reveal little about orchestration. This ‘temporally integrated field’ method is analogous to recording with electroencephalography (EEG) or magnetoencephalography (MEG) in the brain.
How does Buzsaki use the metaphor of a orchestra to describe fMRI/ PET?
A second method can take infrared pictures of the orchestra. This will measure the heat generated by the musicians’ muscle activity. Given the orderly arrangement of the instruments, the pictures taken during some pas- sages of the melody can identify spots of dominant activity, an approach analogous to functional magnetic resonance imaging (fMRI) or positron emission tomography (PET) snapshots taken from the living brain. Unfortunately, this ‘spatial mean field’ approach fails to capture the essence of music: temporal dynamics.
How does Buzsaki use the metaphor of a orchestra to describe single cell recordings?
A third method can sense the sound pressure generated by any one of the instruments and send a pulse to the observer whenever the pressure exceeds a certain threshold, analogous to recording of action potentials (spikes) emitted by single neurons in the brain. By monitoring different but single musical instruments of the same or even different orchestras over many successive performances and pooling the measurements as if they were recorded simultaneously, one can reconstruct some essential feature of the score
What does Buszaki comment regarding the viability of single cell recordings?
This independent ‘single-cell’ approach has yielded significant progress in neuroscience . However, this method would fail when applied to a jazz ensemble where the tune is created by the dynamic interactions among the musicians ‘on the fly’ and which interactions vary from performance to performance. It also largely fails when applied to central brain circuits where myriad ensembles are at work at multiple temporal and spatial scales.
What does Buszaki claim are the principal instruments in the arsenal of contemporary cognitive-behavioral neuroscience?
Field potential analysis, imaging of energy production in brain structures and single-cell recording techniques are the principal instruments in the arsenal of contemporary cognitive-behavioral neuroscience for the study of the intact brain.
What does Buszaki comment about the viability of this field potential analysis?
Even their combined, simultaneous application in behaving subjects falls short of the goal of explaining how a coalition of neuronal groups make sense of the world, generate ideas and goals, and create appropriate responses in a changing environment.
In the brain, specific behaviors emerge from the interaction of its constituents: neurons and neuronal pools. What does Buzsaki claim is required for studying these self-organised processes?
Studying these self-organised processes requires simultaneously monitoring the activity of large numbers of individual neurons in multiple brain areas. Recording from every neuron in the brain is an unreasonable goal. On the other hand, recording from statistically representative samples of identified neurons from several local areas while minimally interfering with brain activity is feasible with currently available and emerging technologies and indeed is a high-priority goal in systems neuroscience.
What other methods does Buzsaki claim can aid this task and to what extent should they play a role?
Many other methods, such as pharmacological manipulations, macroscopic and microscopic imaging and molecular biological tools, can aid this task, but in the end all these indirect observations should be translated back into a common currency—the format of neuronal spike trains—to understand the brain’s control of behaviour.
When a single electrode in placed near a number of neurons ad records from all of them, how can action potentials from different neurons be distinguished from the signal?
Because neurons of the same class generate identical action potentials (all first violins sound the same), the only way to identify a given neuron from extracellularly recorded spikes is to move the electrode tip closer to its body (<20 μm in cortex) than to any other neuron.
What is required to record from another neuron ‘with certainty’?
To record from another neuron with certainty, yet another electrode is needed.
Why does Buszaki claim that improved methods are needed for the simultaneous recording of neuronal populations?
Because electrical recording from neurons is invasive, monitoring from larger numbers of neurons inevitably increases tissue damage. Furthermore, understanding how the cooperative activity of different classes of neurons gives rise to collective ensemble behaviour requires their separation and identification. Because most anatomical wiring is local, the majority of neuronal interactions, and thus computation, occur in a small volume. In the neocortex, the ‘small volume’ corresponds to hypothetical cortical modules (for example, mini- and macro-columns, barrels, stripes, blobs), with mostly vertically organised layers of principal cells and numerous interneuron types. Thus, improved methods are needed for the simultaneous recording of closely spaced neuronal populations with minimal damage to the hard wiring.
What has ‘dramatically increased the yield of isolated neurons’?
The recent advent of localised, multi-site extracellular recording techniques has dramatically increased the yield of isolated neurons
How have the recent advent of localised, multi-site extracellular recording techniques increased the yield of isolated neurons?
With only one recording site, neurons that are the same distance from the tip provide signals of the same magnitude, making the isolation of single cells difficult. The use of two or more recording sites allows for the triangulation of distances because the amplitude of the recorded spike is a function of the distance between the neuron and the electrode.