Neuroscience

Articles and news from the latest research reports.

Posts tagged grid cells

371 notes

The Nobel Assembly at Karolinska Institutet has decided to award the 2014 Nobel Prize in Physiology or Medicine with one half to John O´Keefe and the other half jointly to May-Britt Moser and Edvard I. Moser for their discoveries of cells that constitute a positioning system in the brain.

How do we know where we are? How can we find the way from one place to another? And how can we store this information in such a way that we can immediately find the way the next time we trace the same path? This year´s Nobel Laureates have discovered a positioning system, an “inner GPS” in the brain that makes it possible to orient ourselves in space, demonstrating a cellular basis for higher cognitive function.

In 1971, John O´Keefe discovered the first component of this positioning system. He found that a type of nerve cell in an area of the brain called the hippocampus that was always activated when a rat was at a certain place in a room. Other nerve cells were activated when the rat was at other places. O´Keefe concluded that these “place cells” formed a map of the room.

More than three decades later, in 2005, May-Britt and Edvard Moser discovered another key component of the brain’s positioning system. They identified another type of nerve cell, which they called “grid cells”, that generate a coordinate system and allow for precise positioning and pathfinding. Their subsequent research showed how place and grid cells make it possible to determine position and to navigate.

The discoveries of John O´Keefe, May-Britt Moser and Edvard Moser have solved a problem that has occupied philosophers and scientists for centuries – how does the brain create a map of the space surrounding us and how can we navigate our way through a complex environment?

How do we experience our environment?

The sense of place and the ability to navigate are fundamental to our existence. The sense of place gives a perception of position in the environment. During navigation, it is interlinked with a sense of distance that is based on motion and knowledge of previous positions.

Questions about place and navigation have engaged philosophers and scientists for a long time. More than 200 years ago, the German philosopher Immanuel Kant argued that some mental abilities exist as a priori knowledge, independent of experience. He considered the concept of space as an inbuilt principle of the mind, one through which the world is and must be perceived. With the advent of behavioural psychology in the mid-20th century, these questions could be addressed experimentally. When Edward Tolman examined rats moving through labyrinths, he found that they could learn how to navigate, and proposed that a “cognitive map” formed in the brain allowed them to find their way. But questions still lingered - how would such a map be represented in the brain?

John O´Keefe and the place in space

John O´Keefe was fascinated by the problem of how the brain controls behaviour and decided, in the late 1960s, to attack this question with neurophysiological methods. When recording signals from individual nerve cells in a part of the brain called the hippocampus, in rats moving freely in a room, O’Keefe discovered that certain nerve cells were activated when the animal assumed a particular place in the environment (Figure 1). He could demonstrate that these “place cells” were not merely registering visual input, but were building up an inner map of the environment. O’Keefe concluded that the hippocampus generates numerous maps, represented by the collective activity of place cells that are activated in different environments. Therefore, the memory of an environment can be stored as a specific combination of place cell activities in the hippocampus.

May-Britt and Edvard Moser find the coordinates

May-Britt and Edvard Moser were mapping the connections to the hippocampus in rats moving in a room when they discovered an astonishing pattern of activity in a nearby part of the brain called the entorhinal cortex. Here, certain cells were activated when the rat passed multiple locations arranged in a hexagonal grid (Figure 2). Each of these cells was activated in a unique spatial pattern and collectively these “grid cells” constitute a coordinate system that allows for spatial navigation. Together with other cells of the entorhinal cortex that recognize the direction of the head and the border of the room, they form circuits with the place cells in the hippocampus. This circuitry constitutes a comprehensive positioning system, an inner GPS, in the brain (Figure 3).

A place for maps in the human brain

Recent investigations with brain imaging techniques, as well as studies of patients undergoing neurosurgery, have provided evidence that place and grid cells exist also in humans. In patients with Alzheimer´s disease, the hippocampus and entorhinal cortex are frequently affected at an early stage, and these individuals often lose their way and cannot recognize the environment. Knowledge about the brain´s positioning system may, therefore, help us understand the mechanism underpinning the devastating spatial memory loss that affects people with this disease.

The discovery of the brain’s positioning system represents a paradigm shift in our understanding of how ensembles of specialized cells work together to execute higher cognitive functions. It has opened new avenues for understanding other cognitive processes, such as memory, thinking and planning.

(Source: nobelprize.org)

Filed under nobel prize John O´Keefe May-Britt Moser Edvard I. Moser hippocampus place cells entorhinal cortex grid cells medicine neuroscience science

63 notes

Researchers discover workings of brain’s ‘GPS system’
Just as a global posi­tion­ing sys­tem (GPS) helps find your loca­tion, the brain has an inter­nal sys­tem for help­ing deter­mine the body’s loca­tion as it moves through its surroundings.
A new study from researchers at Prince­ton Uni­ver­sity pro­vides evi­dence for how the brain per­forms this feat. The study, pub­lished in the jour­nal Nature, indi­cates that cer­tain position-tracking neu­rons — called grid cells — ramp their activ­ity up and down by work­ing together in a col­lec­tive way to deter­mine loca­tion, rather than each cell act­ing on its own as was pro­posed by a com­pet­ing theory.
Grid cells are neu­rons that become elec­tri­cally active, or “fire,” as ani­mals travel in an envi­ron­ment. First dis­cov­ered in the mid-2000s, each cell fires when the body moves to spe­cific loca­tions, for exam­ple in a room. Amaz­ingly, these loca­tions are arranged in a hexag­o­nal pat­tern like spaces on a Chi­nese checker board.
“Together, the grid cells form a rep­re­sen­ta­tion of space,” said David Tank, Princeton’s Henry L. Hill­man Pro­fes­sor in Mol­e­c­u­lar Biol­ogy and leader of the study. “Our research focused on the mech­a­nisms at work in the neural sys­tem that forms these hexag­o­nal pat­terns,” he said. The first author on the paper was grad­u­ate stu­dent Cristina Dom­nisoru, who con­ducted the exper­i­ments together with post­doc­toral researcher Amina Kinkhabwala.
Dom­nisoru mea­sured the elec­tri­cal sig­nals inside indi­vid­ual grid cells in mouse brains while the ani­mals tra­versed a computer-generated vir­tual envi­ron­ment, devel­oped pre­vi­ously in the Tank lab. The ani­mals moved on a mouse-sized tread­mill while watch­ing a video screen in a set-up that is sim­i­lar to video-game vir­tual real­ity sys­tems used by humans.
She found that the cell’s elec­tri­cal activ­ity, mea­sured as the dif­fer­ence in volt­age between the inside and out­side of the cell, started low and then ramped up, grow­ing larger as the mouse reached each point on the hexag­o­nal grid and then falling off as the mouse moved away from that point.
This ramp­ing pat­tern cor­re­sponded with a pro­posed mech­a­nism of neural com­pu­ta­tion called an attrac­tor net­work. The brain is made up of vast num­bers of neu­rons con­nected together into net­works, and the attrac­tor net­work is a the­o­ret­i­cal model of how pat­terns of con­nected neu­rons can give rise to brain activ­ity by col­lec­tively work­ing together. The attrac­tor net­work the­ory was first pro­posed 30 years ago by John Hop­field, Princeton’s Howard A. Prior Pro­fes­sor in the Life Sci­ences, Emeritus.
The team found that their mea­sure­ments of grid cell activ­ity cor­re­sponded with the attrac­tor net­work model but not a com­pet­ing the­ory, the oscil­la­tory inter­fer­ence model. This com­pet­ing the­ory pro­posed that grid cells use rhyth­mic activ­ity pat­terns, or oscil­la­tions, which can be thought of as many fast clocks tick­ing in syn­chrony, to cal­cu­late where ani­mals are located. Although the Prince­ton  researchers detected rhyth­mic activ­ity inside most neu­rons, the activ­ity pat­terns did not appear to par­tic­i­pate in posi­tion calculations.

Researchers discover workings of brain’s ‘GPS system’

Just as a global posi­tion­ing sys­tem (GPS) helps find your loca­tion, the brain has an inter­nal sys­tem for help­ing deter­mine the body’s loca­tion as it moves through its surroundings.

A new study from researchers at Prince­ton Uni­ver­sity pro­vides evi­dence for how the brain per­forms this feat. The study, pub­lished in the jour­nal Nature, indi­cates that cer­tain position-tracking neu­rons — called grid cells — ramp their activ­ity up and down by work­ing together in a col­lec­tive way to deter­mine loca­tion, rather than each cell act­ing on its own as was pro­posed by a com­pet­ing theory.

Grid cells are neu­rons that become elec­tri­cally active, or “fire,” as ani­mals travel in an envi­ron­ment. First dis­cov­ered in the mid-2000s, each cell fires when the body moves to spe­cific loca­tions, for exam­ple in a room. Amaz­ingly, these loca­tions are arranged in a hexag­o­nal pat­tern like spaces on a Chi­nese checker board.

“Together, the grid cells form a rep­re­sen­ta­tion of space,” said David Tank, Princeton’s Henry L. Hill­man Pro­fes­sor in Mol­e­c­u­lar Biol­ogy and leader of the study. “Our research focused on the mech­a­nisms at work in the neural sys­tem that forms these hexag­o­nal pat­terns,” he said. The first author on the paper was grad­u­ate stu­dent Cristina Dom­nisoru, who con­ducted the exper­i­ments together with post­doc­toral researcher Amina Kinkhabwala.

Dom­nisoru mea­sured the elec­tri­cal sig­nals inside indi­vid­ual grid cells in mouse brains while the ani­mals tra­versed a computer-generated vir­tual envi­ron­ment, devel­oped pre­vi­ously in the Tank lab. The ani­mals moved on a mouse-sized tread­mill while watch­ing a video screen in a set-up that is sim­i­lar to video-game vir­tual real­ity sys­tems used by humans.

She found that the cell’s elec­tri­cal activ­ity, mea­sured as the dif­fer­ence in volt­age between the inside and out­side of the cell, started low and then ramped up, grow­ing larger as the mouse reached each point on the hexag­o­nal grid and then falling off as the mouse moved away from that point.

This ramp­ing pat­tern cor­re­sponded with a pro­posed mech­a­nism of neural com­pu­ta­tion called an attrac­tor net­work. The brain is made up of vast num­bers of neu­rons con­nected together into net­works, and the attrac­tor net­work is a the­o­ret­i­cal model of how pat­terns of con­nected neu­rons can give rise to brain activ­ity by col­lec­tively work­ing together. The attrac­tor net­work the­ory was first pro­posed 30 years ago by John Hop­field, Princeton’s Howard A. Prior Pro­fes­sor in the Life Sci­ences, Emeritus.

The team found that their mea­sure­ments of grid cell activ­ity cor­re­sponded with the attrac­tor net­work model but not a com­pet­ing the­ory, the oscil­la­tory inter­fer­ence model. This com­pet­ing the­ory pro­posed that grid cells use rhyth­mic activ­ity pat­terns, or oscil­la­tions, which can be thought of as many fast clocks tick­ing in syn­chrony, to cal­cu­late where ani­mals are located. Although the Prince­ton  researchers detected rhyth­mic activ­ity inside most neu­rons, the activ­ity pat­terns did not appear to par­tic­i­pate in posi­tion calculations.

Filed under grid cells electrical activity virtual environment neural system neuroscience science

46 notes

Grid cell firing patterns signal environmental novelty by expansion
The hippocampal formation plays key roles in representing an animal’s location and in detecting environmental novelty to create or update those representations. However, the mechanisms behind this latter function are unclear. Here, we show that environmental novelty causes the spatial firing patterns of grid cells to expand in scale and reduce in regularity, reverting to their familiar scale as the environment becomes familiar. Simultaneously recorded place cell firing fields remapped and showed a smaller, temporary expansion. Grid expansion provides a potential mechanism for novelty signaling and may enhance the formation of new hippocampal representations, whereas the subsequent slow reduction in scale provides a potential familiarity signal.

Grid cell firing patterns signal environmental novelty by expansion

The hippocampal formation plays key roles in representing an animal’s location and in detecting environmental novelty to create or update those representations. However, the mechanisms behind this latter function are unclear. Here, we show that environmental novelty causes the spatial firing patterns of grid cells to expand in scale and reduce in regularity, reverting to their familiar scale as the environment becomes familiar. Simultaneously recorded place cell firing fields remapped and showed a smaller, temporary expansion. Grid expansion provides a potential mechanism for novelty signaling and may enhance the formation of new hippocampal representations, whereas the subsequent slow reduction in scale provides a potential familiarity signal.

Filed under brain neuron grid cells electrical activity neuroscience science

72 notes


Primates’ brains make visual maps using triangular grids
Primates’ brains see the world through triangular grids, according to a new study published online Sunday in the journal Nature.
Scientists at Yerkes National Primate Research Center, Emory University, have identified grid cells, neurons that fire in repeating triangular patterns as the eyes explore visual scenes, in the brains of rhesus monkeys.
The finding has implications for understanding how humans form and remember mental maps of the world, as well as how neurodegenerative diseases such as Alzheimer’s erode those abilities. This is the first time grid cells have been detected directly in primates. Grid cells were identified in rats in 2005, and their existence in humans has been indirectly inferred through magnetic resonance imaging.
Grid cells’ electrical activities were recorded by introducing electrodes into monkeys’ entorhinal cortex, a region of the brain in the medial temporal lobe. At the same time, the monkeys viewed a variety of images on a computer screen and explored those images with their eyes. Infrared eye-tracking allowed the scientists to follow which part of the image the monkey’s eyes were focusing on. A single grid cell fires when the eyes focus on multiple discrete locations forming a grid pattern.
"The entorhinal cortex is one of the first brain regions to degenerate in Alzheimer’s disease, so our results may help to explain why disorientation is one of the first behavioral signs of Alzheimer’s," says senior author Elizabeth Buffalo, PhD, associate professor of neurology at Emory University School of Medicine and Yerkes National Primate Research Center. "We think these neurons help provide a context or structure for visual experiences to be stored in memory."
"Our discovery of grid cells in primates is a big step toward understanding how our brains form memories of visual information," says first author Nathan Killian, a graduate student in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. "This is an exciting way of thinking about memory that may lead to novel treatments for neurodegenerative diseases."

(Image credit: Mark Snelson)

Primates’ brains make visual maps using triangular grids

Primates’ brains see the world through triangular grids, according to a new study published online Sunday in the journal Nature.

Scientists at Yerkes National Primate Research Center, Emory University, have identified grid cells, neurons that fire in repeating triangular patterns as the eyes explore visual scenes, in the brains of rhesus monkeys.

The finding has implications for understanding how humans form and remember mental maps of the world, as well as how neurodegenerative diseases such as Alzheimer’s erode those abilities. This is the first time grid cells have been detected directly in primates. Grid cells were identified in rats in 2005, and their existence in humans has been indirectly inferred through magnetic resonance imaging.

Grid cells’ electrical activities were recorded by introducing electrodes into monkeys’ entorhinal cortex, a region of the brain in the medial temporal lobe. At the same time, the monkeys viewed a variety of images on a computer screen and explored those images with their eyes. Infrared eye-tracking allowed the scientists to follow which part of the image the monkey’s eyes were focusing on. A single grid cell fires when the eyes focus on multiple discrete locations forming a grid pattern.

"The entorhinal cortex is one of the first brain regions to degenerate in Alzheimer’s disease, so our results may help to explain why disorientation is one of the first behavioral signs of Alzheimer’s," says senior author Elizabeth Buffalo, PhD, associate professor of neurology at Emory University School of Medicine and Yerkes National Primate Research Center. "We think these neurons help provide a context or structure for visual experiences to be stored in memory."

"Our discovery of grid cells in primates is a big step toward understanding how our brains form memories of visual information," says first author Nathan Killian, a graduate student in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. "This is an exciting way of thinking about memory that may lead to novel treatments for neurodegenerative diseases."

(Image credit: Mark Snelson)

Filed under primates vision neuron grid cells triangular patterns neurodegenerative diseases neuroscience psychology science

free counters