The Lu lab is interested in how activity - dependent processes during brain development fine - tune the establishment of neural circuits and
how neural activity affect neural circuit wiring and cognitive behaviors.
Behavioural studies have demonstrated that viewing patterns differ measurably between static and dynamic images, so it is important to determine
how neural activity relates to eye movements in more naturalistic settings.
It is not known, however,
how neural activity relates to eye movement measures during the viewing of naturalistic, dynamic stimuli.
They give animals a specific stimulus — a pattern of stripes, say, or a specific chemical odor — and simultaneously measure the brain's «code» for that stimulus: i.e.,
how neural activity depends upon the stimulus.
Despite decades of work, neuroscientists still struggle to describe
how neural activity in the brain relates to the movements being generated.
Over the past 50 years, we have learned more about the visual parts of the brain than any other areas, and we have a solid understanding of
how neural activity leads to visual perception in a typical brain.
To truly see
how neural activity changes during learning, we need to look bigger — at populations of neurons, rather than one neuron at a time, which has been the standard approach to date.
Not exact matches
Your preschooler's brain is a beehive of
activity as it forms countless new
neural connections that help him understand the whats, whys, and
hows of the world.
Moore's «hemo -
neural hypothesis» posits several mechanisms for
how blood might modulate neuron
activity.
We have failed to explain
how consciousness equates to
neural activity inside the skull because the task is self - contradictory, argues Ray Tallis
Using an electroencephalogram (EEG) to detect electrical
activity in the brain, Emmanuelle Tognoli, Ph.D., co-principal investigator, associate research professor in FAU's Center for Complex Systems and Brain Sciences in the Charles E. Schmidt College of Science, and an expert in electrophysiology and
neural, behavioral, and cognitive sciences, will examine
how the tactile information from the robotic sensors is passed onto the brain to distinguish scenarios with successful or unsuccessful functional restoration of the sense of touch.
To determine
how information is represented in this area, we measured spatial modulation of
neural activity in layers of medial entorhinal cortex projecting to the hippocampus.
Nobody really knows
how the
activity in your brain reorganizes as you learn new tasks, but new research from Carnegie Mellon University and the University of Pittsburgh reveals that the brain has various mechanisms and constraints by which it reorganizes its
neural activity when learning over the course of a few hours.
«But each of these achievements required time — not to train the user, but to train the computer
how to interpret the
neural activity that reflects our users» intuitively generated intended hand movements.
The video and
neural signals were then combined to show which muscle movements resulted from which neuron firings and
how the
activity of the neurons appeared to anticipate movement.
A new study published in PLOS Computational Biology investigates
how temporal acoustic patterns can be represented by
neural activity within auditory cortex, a major hub within the brain for the perception of sound.
After analysis, the researchers were able to observe
how the patterns of
neural activity were changing at each stage of each task.
What are the roles of the
neural activity generated at different points in time, and
how do they help the system adapt to the environment?
Foster and Wilson say previous studies have demonstrated
how rats» hippocampal cells rerun patterns of
neural activity during sleep.
Researchers took a three - dimensional approach to this study by looking at what the users» task performance was through evaluating
how they process the tasks of detecting cyberattacks with
neural activity, which was captured using electroencephalogram, or EEG, cognitive metrics and with eye gaze patterns, which were captured using an eye - tracker.
As the
neural activity associated with attention travels down throughout our visual system's circuits, it can also affect
how we perceive and interpret the shapes of objects.
«By combining in vivo multiphoton microscopy and in vivo electrophysiology, our lab is better able to visualize
how cells move and change over time in the living brain and explain
how changes in these glial cells alter the visually evoked
neural network
activity,» says Kozai.
From this information a
neural map can be created showing where brain
activity occurs and
how much blood is flowing there.
These products are crude, imprecise and sometimes frustratingly nonresponsive — that's
how it goes with EEG - based headsets, which pick up only the faintest electroencephalographic echoes of
neural activity through the skull.
In the aging research, there are mixed findings on whether aging is associated with increased or decreased amplitude of
neural activity, and looking into variability of the signal gives us a new type of information on
how the aging brain works.»
Using this data, we will map the
neural activity underlying long - term, internal states, such as hunger, and examine
how that influences
neural activity linked to medium - term behaviors, such as mating.
We seek to develop a mathematical framework that can explain
how invariant components emerge from the seeming chaos of
neural activity and
how their dynamics implement the computations necessary to drive behavior.
In the last few years, powerful experimental techniques that can monitor the
activity of many neurons at once have generated a new field of neuroscience — «
neural dynamics» — which uses sophisticated mathematical models to describe
how brain
activity evolves on a moment - to - moment basis.
Neuroscientists studying the sensory system have made great strides decoding
how the brain translates sights and smells into
neural activity.
We can also couple that with microfluidics to administer neuromodulators, hormones and other molecules and see
how site - selective administration of the chemicals modifies
neural activity.
Studying
how animals plan over these different timescales has been challenging, in large part because it requires many brain areas operating at once, and neuroscientists have lacked the tools to observe
neural activity over broad swaths of the brain.
While these internal
neural processes are being observed, the researchers learn more about
how the
neural system operates through a method called perturbation, which is intentionally disrupting the dynamical
neural system in precise ways in order to better understand the underlying principles that control its
activity.
Development of cortical
neural circuits, in particular on
activity - dependent remodeling and
how to correct mis - wiring in neurological disorders.
Oscillatory brain
activity during encoding predicts later memory, suggesting that it can be used to discriminate good and poor memory function, and raising questions about
how to modulate
neural activity to increase memory success.