During scanning, the subject viewed a projection of a computer screen see Fig. 1 A and gave a spoken response in each trial. The Beauty Contest game session 1 consisted of guessing an integer number between 0 and 100 both limits includedin which the winner is the person whose number is closest to M average of all chosen numbers. M is the known multiplier parameter in a trial which takes 6 values with M 1 9 8, 6 5, 4 3, 3 2, 5 3, 7 4.
We also include M 1, which is a control, whether the thought process started at or 50. However, level 1 and level 2 cannot be distinguished for M 1. The winner received 10 euros. If there was a tie, the 10 euros were split between those who tied. Information about the results of the game was provided at the payment stage see below.
The first session consisted of 3 different conditions i human condition, in which a subject knew that he was playing against 9 other subjects who were under exactly the same conditions as himself but at a different scheduled time 13 trials ; ii computer condition, in which the subject was informed that a computer program randomly draws 9 numbers 13 trials ; and iii a random condition, in which the subject was asked to choose a number at random between 0 and 100 13 trials.
Each value of the parameter M was presented twice, once in the human and a second time in the computer condition. The calculation tasks session 2 were of the form N M 24 trials or N M M 24 trialswhere N is a 2 digit number and M is a multiplier from the set mentioned above, excluding M 1. Each product was mentioned twice with the same M but different N. We also asked for a random number as a control 12 trials.
For each correct calculation task a subject received 50 euro cents. A correct answer had to be within a 1 deviation of the up or down rounded result, e. We used an event-related design, mixing the 3 main conditions.a result of 54. 33 produced a winning interval from 53 to 56. The calculation task was always presented after the Beauty Contest game to avoid behavioral biases. The participants were informed and instructed about the calculation task just before it began. Time Course of the Experimental Tasks.
On each trial of the Beauty Contest game session 1 the subject viewed an information screen 2 seconds indicating the type of condition human, computer, or randomthe formula of the target number with the information about the value of the parameter multiplier M with the exception of the random conditionand the question to choose a number between 0 and 100.
After pressing the button the subjects had 2 seconds to say a number. After 2 seconds, the message press the button when ready appeared in the bottom of the screen. There was an intertrial interval of 4 8 s jittered. In the calculation task session 2 the subjects viewed an information screen 2 seconds with the indication of the factor s and the number digit they had to multiply. They were asked to give an answer with a maximum of 10 s.
The message say a number appeared right after they pressed the button, or automatically after the time limit 10 s. Stimuli Presentation. Behavioral responses were logged by means of a desktop computer located outside the scanner running Presentation Neurobehavioral Systems, Inc. stimulus delivery and experimental control software system for neuroscience. At the end of the scanning subjects had to fill in a questionnaire with the following questions.
i Please comment on your first choice. M 2 3 in the human condition. ii Please comment on your choice when M 1 4 in the computer condition. iii Did you have a general rule for the trials in the human condition. iv Did you have a general rule for the trials in the computer condition. Notably, the subjects responses on the questionnaire were very consistent with their pattern of choice see SI Text SI4.
Participants were financially motivated. Each subject received a 50 euro show-up fee at the end of the experiment. Once 10 subjects had been scanned, we sent them an e-mail message with a table of their own choices and the choices of their coplayers preserving anonymity. For each subject, we summed up the winning amount of each trial according to the rules of the game mentioned above.
A transfer of the money they won was sent to their bank account. Statistical Analysis of Behavioral Data Behavioral Types. We categorized each player according to 3 categories based on choices in the human condition random behavior, low level level 1and high-level reasoning level 2 or higher. To measure the level of reasoning of a subject we did the following i we calculated for each trial of the Beauty Contest game the quadratic distance QD between actual choice and the different theoretical level k values L1, L2, L3,according to the Cognitive Hierarchy model Fig.
1 C where x ijM is the choice of participant i in condition j either human or computer in trial with parameter M; k is level k with k 1, 2, 3. ii We determined the minimum distance and the corresponding level k within each trial. For example, a choice of 24 for M 2 3, has is minimum QD for k 2 i.QD1 24 50 2 3 2 87, QD2 24 50 2 3 2 2 4, QD3 24 50 2 3 3 2 84,thus we classified this choice as level 2.
iii For the human condition, we counted how many times out of 12 M-parameters, thus without M 1, which is not predictive of level of reasoning a player was identified by one of the above-mentioned levels k of reasoning. We categorized a player as high level if at least 7 of 12 cases in the human condition were identified as level 2 or higher. Players that did not belong to any of these categories were classified as random players.
iv We categorized a player as low level if at least 7 of 12 cases in the human condition were identified as level 1. We used the mean quadratic distance between actual choices and one theoretical type e.L1 or L2 across all trials for each subject to test for behavioral differences between conditions human vs. computer and types high vs.
lowas reported in the results section. Strategic IQ. We define strategic IQ as the subject s ability to guess a number that could potentially win against a large population of opponents. We considered all of the possible combinations of 9 choices out of all 19 opponents choices human condition a player can be matched with we followed the recombinant estimation method 46, 47. For each subject, we calculated i the winning number for each combination of choices including the considered subject s choice per trial; ii the quadratic distance of a subject s choice to the winning number of every combination per trial; iii the average quadratic distance across all of the possible combinations and all trials of a subject plotted in Fig.
fMRI Data Acquisition, Preprocessing and Statistical Analysis. Subjects were scanned using a 1. 5T MRI scanner Siemens Magnetom Sonata with an 8 channel head coil performing the experimental task over 2 sessions. T2-weighted echoplanar images, optimized for blood oxygenation level-dependent BOLD contrast, were acquired. Each volume comprised 26 slices acquired continuously over 2.
5 s TE 60 ms; interleaved acquisition; slice thickness 4 mm; 0. 4 mm noncontiguous; parallel to the subject s anterior posterior axis; in plane resolution 3. 44 mm 2 ; matrix size 64 64allowing for complete brain coverage. Additionally, a T1-weighted image was acquired at the end of each experiment. Head motions were minimized by the use of foam padding.
Headphones and ear-plugs were used to dampen the scanner noise. We used an MRI-compatible microphone for recording voice responses. html on a Matlab platform. Images were initially realigned to correct for motion artifacts. Differences in the timing of images slices across each individual volume were corrected, and each volume was transformed into standard stereotaxic space and smoothed with a Gaussian filter full-width half-maximum 8 mm.
Voxel-wise differences in BOLD contrast within the smoothed normalized images resulting from the different task conditions and trial types were examined using SPM. Standard neuroimaging methods using the general linear model were used with the first level individual subject analyses providing contrasts for group effects analyzed at the second level. Choice-related neural activity at the time of choice was studied during the epoch between trial onset and subject response self-paced button-press before pronouncing a number.
The intertrial intervals were jittered using an optimal signal-to-noise function 48, 49. Choice trials were partitioned according to whether the subject was in the human, computer, or random condition of the Beauty Contest game and in the C1, C2, or random condition in the calculation task. For group analysis of choice-related activity, second-level analyses of contrast for different levels of reasoning for different trial types human, computer, and random where computed as ANOVAs with sphericity correction for repeated measures.
Posthoc exploration of individual data is also reported to illustrate specific effects as a function of different trial types. Adjusted activity represents BOLD signal changes proportionally adjusted for the analytic model. Although general threshold significance was set at P 1 To whom correspondence should be addressed. E-mail coricelli isc.
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Odin Forex Robot Review. The Odin Forex Robot is fully automated so it will do all of the trading for you, just keep in mind that it is a grid-based forex trading system which I personally find way too risky for my trading style. As with any forex system, Odin Forex Robot will perform best with low spreads, low slippage and low commissions. Odin Forex Robot is suitable for any level of trader from beginners to the more advanced with easy to follow setup instructions provided by the developers.
It should be noted that there are no guarantees on how any system will perform and historical results are by no means an indication of future performance. In this post I will be reviewing the Odin Forex Robot that has been developed by the team over at Forex Robot Trader and runs in the free to download and extremely popular MetaTrader 4 MT4 trading platform that is available by most of the best forex brokers across the globe. Odin Forex Robot Trading Strategy. The Odin Forex Robot uses an advanced grid trading strategy to find entry points in the market, targeting reversals and trends to catch big moves for a good amount of pips.
Odin Forex Robot will open, manage and close trades for you, just make sure that you keep an eye on it to see how it is going. I would like to see the Odin Forex Robot results verified by myfxbook or FX Blue as I think the majority of traders reading this would also. The Odin Forex Robot developer does not share verified results on the website. Odin Forex Robot includes a broker shield feature in an attempt to avoid unsuitable broker conditions.
It comes with set files for 20 popular forex currency pairs although I would personally prefer to trade the major pairs such as the EURUSD GBPUSD as I find they tend to have some of the lowest spreads and slippage due to the amount of liquidity, they have most of the time. Odin Forex Robot Back Testing. Odin Forex Robot also uses a stop loss and take profits whilst also trying to locki in profits. There are no back tests shared by the Forex Robot Traders team on the official Odin Forex Robot website.
This could have given an idea of the historical performance but of course would be no guarantee of future performance. It would have been useful for potential users to see 99 modelling quality back tests using Birts TDS in the MT4 strategy tester. Odin Forex Robot Live Results. For the upmost accuracy, back tests can be conducted using real tick data, variable spreads and including commission, swaps and slippage.
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4 Awarded best finance app at the ADVFN International Financial Awards 2020 and Professional Trader Awards 2019. Add CPUs to start comparisons. 1,000,000 Systems Tested and 3,100 CPU Models - Updated Daily. Included in these lists are CPUs designed for servers and workstations such as Intel Xeon and AMD EPYC Opteron processorsdesktop CPUs Intel Core Series and AMD Ryzen and A-Seriesin addition to mobile CPUs. Compare the performance of up to 5 different CPUs. Most Popular Benchmarks. Search for your CPU Model.
High End CPU Chart. Best Value All time CPU Chart. CPUs by Performance. Single Thread CPU Chart. High to Mid Range CPU Chart. Low End CPU Chart. Low to Mid Range CPU Chart. Best Value CPU Chart On Market. Best Value CPU XY Scatter. Latest and hottest. New Desktop CPUs Chart. New Laptop CPUs Chart. Common CPU Chart. Most Benchmarked 90 Days CPUs.
Specific Performance. PassMark Software has delved into the thousands of benchmark results that PerformanceTest users have posted to its web site and produced nineteen Intel vs AMD CPU charts to help compare the relative speeds of the different processors. Overclocked CPU Chart. Power Performance CPU Chart. Cross-Platform CPU Performance. CPU Mark by Socket Type.
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