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      "title": "Unconventional connections How inhibition hones cortical selectivity",
      "body": "<html> <p>https://cdn.steemitimages.com/DQmWurKB493DETjXQQW1iQuyszXz8FgTmYi76DuVST7gzSD/image.png</p> <p><strong>Subthreshold direction selectivity is inherited from synaptic conductances when co-tuned. Differential tuning of excitation (Ge) and inhibition (Gi) can preferentially suppress excitation and enhance subthreshold selectivity. With differential tuning, inhibition can be either bidirectional or oppositely tunned for direction relative to excitation.</strong></p> <p><br></p> <p>Our brains do a remarkable job of encoding visual information about the world around us, providing an almost instantaneous report about rapidly changing conditions that is critical for guiding our behavior. Integral to the brain's encoding mechanism is the presence of neurons that respond selectively to specific visual features, generating electrical activity that reliably signals properties such as the orientation of edges, their position in space, and their direction of motion. By using new tools to probe the principles of connectivity that neural circuits use to generate selective responses, scientists at the <strong>Max Planck</strong> Florida Institute for Neuroscience are gaining a host of new insights into the fundamental mechanisms underlying brain function.</p> <p>Understanding how neural circuits build response selectivity poses an enormous challenge since a single neuron receives thousands of synaptic inputs derived from other neurons and these inputs can differ in their response properties and how they can affect the neuron. Some inputs are excitatory, making the neuron more likely to generate an electrical signal, while others are inhibitory, reducing the likelihood that the neuron generates a signal. Somehow a neuron integrates all of these excitatory and inhibitory synaptic inputs to generate responses that are selective, a mysterious 'input/output transform' that has been the subject of intense research interest.</p> <p>Previous studies have suggested that there are some simple rules that govern excitatory and inhibitory functional connections. A prominent rule that has emerged for excitatory connections is the notion '<em>like connects with like.</em>' For example, in the visual cortex, neurons that respond selectively to a particular direction of motion are thought to receive their excitatory inputs from other neurons that respond selectively to the same direction of motion. An equally important rule has been postulated for inhibitory inputs: the idea that the properties of the inhibitory inputs a neuron receives match the properties of its excitatory inputs. Because of the '<em>matching rule</em>,' inhibitory inputs are thought to adjust the strength of the excitatory inputs, but not to alter the selectivity conveyed to the neuron by its excitatory inputs.</p> <p>Now in a recent publication in Nature, researchers in<strong> David Fitzpatrick's</strong> Lab, <strong>Daniel Wilson</strong>, Ph.D., and <strong>Benjamin Scholl</strong>, Ph.D., have accumulated multiple lines of evidence that challenge both of these principles, providing a new perspective on how circuits in visual cortex employ excitation and inhibition to generate neuronal responses that are selective for an object's direction of motion.</p> <p>MPFI researchers first needed a better picture of the direction selectivity supplied by a neuron's excitatory synaptic inputs. To do this they used in vivo two-photon microscopy to characterize the direction selectivity of individual excitatory synaptic inputs onto the dendrites of a neuron, comparing this with the neuron's overall direction preference. Surprisingly, what they discovered goes against the grain of traditional thinking. Although, many of the synapses aligned with the overall directional preference of the neuron, a large number were found to respond best to the opposite (null) direction of motion, a pattern of connectivity that contrasts sharply with '<em>like connects with like</em>' rule. They also noticed a conspicuous mismatch between the strength of a neuron's direction selectivity, and that predicted by its excitatory synaptic inputs. The degree of direction selectivity that the neurons exhibited was significantly greater than what would have been expected from such a broad range of excitatory inputs.</p> <p>To further probe the factor(s) responsible for this puzzling difference between the neuron's excitatory inputs and its output, they turned to a different set of experiments using in vivo whole-cell patch-clamp electrophysiology. This technique makes it possible to measure the total sum of synaptic inputs contributing to a neuron's response and to compare the contribution of excitatory and inhibitory synaptic inputs. The results for the excitatory inputs were consistent with the two-photon imaging data confirming a significant amount of excitatory input for both the preferred and the null direction of motion. The results for inhibition provided the team with another challenge to traditional thinking and a potential explanation for the puzzling input/output difference: In fact, the tuning of the inhibitory inputs did not match the excitatory inputs. For many neurons the strength of inhibition was greatest for the null direction of motion, suggesting that excitatory synaptic inputs to the null direction were being selectively dampened through inhibition.</p> <p>These findings predict that cortical inhibitory neurons make a substantial number of synaptic inputs to excitatory neurons that prefer the opposite direction of motion. The researchers applied two novel approaches to examine this question, first charting the anatomical connections of functionally defined inhibitory neurons, and then using optogenetics (selectively activating inhibitory neurons with light) to map the source of inhibitory inputs to single excitatory neurons. In tandem, these techniques confirmed that inhibitory connections to excitatory neurons often originated from neurons that preferred the opposite direction of motion.</p> <p>Beyond disentangling the mechanism responsible for direction selectivity, these discoveries emphasize the flexible ways in which neural circuits can integrate excitatory and inhibitory inputs to build the variety of selective response properties critical for neural coding. Like doesn't always connect with like and excitation doesn't always match inhibition, but you can count on brain circuits to have evolved the combination of inputs necessary to ensure high levels of functional performance.</p> <p><br></p> </html>",
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      "body": "<html> <p>https://cdn.steemitimages.com/DQmdQ4PYebbRf4qzLJu12t6FwnhVbmR3k3DYxbsap3zw28v/image.png</p> <p><br></p> <p>Taking responsibility for making decisions that affect the welfare of others sets leaders apart from followers, new research has shown.</p> <p><br></p> <p>Researchers from the University of Zurich investigated what distinguishes people with high leadership capabilities from others and identified one key characteristic: the ability to make decisions that affect not just themselves but also influence the lives of others.</p> <p><br></p> <p>Parents, company bosses, army generals, teachers and heads of state are among those who are known to demonstrate these qualities, the team said.</p> <p><br></p> <p>As part of the study, the researchers gave the participants the ability to make a decision themselves or delegate it to the group.</p> <p><br></p> <p>Experiments were based on two scenarios – one where the decisions only affected the decision-makers themselves, and one where decisions resulted in consequences for the whole group.</p> <p>https://cdn.steemitimages.com/DQmWHbZ9xm8fzmJrLfk5694vxK7uSAnTQymRRnE6U48UhG1/TW.PNG<br></p> <p>The researchers also analysed the individuals’ intuitions that guided the decision-making process, such as whether they were less afraid of the consequences of taking risks, whether they liked being in control, or whether they were more willing to take on responsibility for others.</p> <p><br></p> <p>The team used a technique known as functional magnetic resonance imaging (fMRI) to analyse what was going on in the participants’ brains while they were making those decisions.</p> <p><br></p> <p>The results show that responsibility aversion, or the unwillingness to make decisions which also affect others, was driven by a greater need for certainty about the best course of action – especially when the decision had an impact on other people.</p> <p><br></p> <p>For example, in a risky investment scenario, a person might see it as a good opportunity for themselves but as a less likely option if it meant losing money for the whole family.</p> <p>https://cdn.steemitimages.com/DQmVq5UUvZ2FHT98iWK6aTUV8DjSCamYdPbmoAjQcXynpZp/image.png</p> <p>Dr Micah Edelson, a researcher at the University of Zurich’s Department of Economics and lead study author, said: “We find that individuals make the choice to lead in a multi-step fashion – where part of the processes include setting a general threshold for the quality of information towards the degree of certainty they require for making the choice.”</p> <p><br></p> <p>By creating a mathematical framework, the researchers found that leaders are less likely to change the threshold of certainty when they were making the decisions for others instead of themselves.</p> <p><br></p> <p>Dr Edelson added:</p> <blockquote>&nbsp;“Because this framework highlights the change in the amount of certainty required to make a decision, and not the individual’s general tendency for assuming control, it can account for many different leadership types.</blockquote> <p><br></p> <p><em>These can include authoritarian leaders who make most decisions themselves, and egalitarian leaders who frequently seek a group consensus.</em></p> </html>",
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